subject:(Image processing Digital techniques )

Oregon State University

1. Chuang, Chih-Lan Jasmine. Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates.

Degree: MS, Mechanical Engineering, 2012, Oregon State University

URL: http://hdl.handle.net/1957/30170

► Identifying material parameters in composite plates is a necessary first step in a variety of structural applications. For example, understanding the material parameters of carbon… (more)

▼ Identifying material parameters in composite plates is a necessary first step in a variety of structural applications. For example, understanding the material parameters of carbon fiber composite is important in investigating sensor and actuator placement on micro-air-vehicle wings for control and wing morphing purposes. Knowing the material parameters can also help examine the health of composite structures and detect wear or defects. Traditional testing methods for finding material parameters such as stiffness and damping require multiple types of experiments such as tensile tests and shaker tests. These tests are not without complications. Methods such as tensile testing can be destructive to the test specimens while use of strain gages and accelerometers can be inappropriate due to the lightweight nature of the structures. The proposed inverse problem testing methods using digital image correlation via high speed cameras can potentially eliminate the disadvantages of traditional methods as well as determine the required material parameters including stiffness and damping by conducting only one type of experiment. These material parameters include stiffness and damping for both isotropic and orthotropic materials, and ply angle layup specifically for carbon fiber materials. A finite element model based on the Kirchoff-Love thin plate theory is used to produce theoretical data for comparison with experimental data collected using digital image correlation. Shaker experiments are also carried out using digital image correlation to investigate the modal frequencies as validation of the results of the inverse problem. We apply these techniques first to an aluminum plate for which material parameters are known to test the performance and efficiency of the method. We then apply the method to a composite plates to determine not only these parameters, but also the layup angle. The inverse problem successfully estimates the Young's modulus and damping for the aluminum material. In addition, the vibration analysis produces consistent resonance frequencies for the first two modes for both theoretical and experimental data. However, carbon fiber plates present challenges due to limitations of the Kirchoff-Love plate theory used as the underlining theoretical model for the finite element approximation used in the inverse problem, resulting in a persistent mismatch of resonance frequencies in experimental data. Advisors/Committee Members: Batten, Belinda (advisor), Bay, Brian (committee member).

Subjects/Keywords: Image processing – Digital techniques

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APA (6^th Edition):

Chuang, C. J. (2012). Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/30170

Chicago Manual of Style (16^th Edition):

Chuang, Chih-Lan Jasmine. “Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates.” 2012. Masters Thesis, Oregon State University. Accessed October 14, 2019. http://hdl.handle.net/1957/30170.

MLA Handbook (7^th Edition):

Chuang, Chih-Lan Jasmine. “Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates.” 2012. Web. 14 Oct 2019.

Vancouver:

Chuang CJ. Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1957/30170.

Council of Science Editors:

Chuang CJ. Application of digital image correlation in material parameter estimation and vibration analysis of carbon fiber composite and aluminum plates. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30170

University of Hong Kong

2. Wu, Ruobing. Texture and mid-level features of objects and scenes in images.

Degree: PhD, 2015, University of Hong Kong

URL: Wu, R. [武若冰]. (2015). Texture and mid-level features of objects and scenes in images. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5719463 ; http://hdl.handle.net/10722/223613

►

Features of images have been widely explored in the literature to better represent and utilize images. The development of deep learning has brought new challenges… (more)

Subjects/Keywords: Image processing - Digital techniques

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APA (6^th Edition):

Wu, R. (2015). Texture and mid-level features of objects and scenes in images. (Doctoral Dissertation). University of Hong Kong. Retrieved from Wu, R. [武若冰]. (2015). Texture and mid-level features of objects and scenes in images. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5719463 ; http://hdl.handle.net/10722/223613

Chicago Manual of Style (16^th Edition):

Wu, Ruobing. “Texture and mid-level features of objects and scenes in images.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Wu, R. [武若冰]. (2015). Texture and mid-level features of objects and scenes in images. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5719463 ; http://hdl.handle.net/10722/223613.

MLA Handbook (7^th Edition):

Wu, Ruobing. “Texture and mid-level features of objects and scenes in images.” 2015. Web. 14 Oct 2019.

Vancouver:

Wu R. Texture and mid-level features of objects and scenes in images. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Oct 14]. Available from: Wu, R. [武若冰]. (2015). Texture and mid-level features of objects and scenes in images. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5719463 ; http://hdl.handle.net/10722/223613.

Council of Science Editors:

Wu R. Texture and mid-level features of objects and scenes in images. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Wu, R. [武若冰]. (2015). Texture and mid-level features of objects and scenes in images. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5719463 ; http://hdl.handle.net/10722/223613

University of Hong Kong

3. Hu, Yongtao. Multimodal speaker localization and identification for video processing.

Degree: PhD, 2014, University of Hong Kong

URL: Hu, Y. [胡永涛]. (2014). Multimodal speaker localization and identification for video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543983 ; http://dx.doi.org/10.5353/th_b5543983 ; http://hdl.handle.net/10722/226120

► With the rapid growth of the multimedia data, especially for videos, the ability to better and time-efficiently understand them is becoming increasingly important. For videos,… (more)

▼ With the rapid growth of the multimedia data, especially for videos, the ability to better and time-efficiently understand them is becoming increasingly important. For videos, speakers, which are normally what our eyes are focused on, have played a key role to understand the content. With the detailed information of the speakers like their positions and identities, many high-level video processing/- analysis tasks, such as semantic indexing, retrieval summarization. Recently, some multimedia content providers, such as Amazon/IMDb and Google Play, had the ability to provide additional cast and characters information for movies and TV series during playback, which can be achieved via a combination of face tracking, automatic identification and crowd sourcing. The main topics includes speaker localization, speaker identification, speech recognition, etc. This thesis first investigates the problem of speaker localization. A new algorithm for effectively detecting and localizing speakers based on multimodal visual and audio information is presented. We introduce four new features for speaker detection and localization, including lip motion, center contribution, length consistency and audio-visual synchrony, and combine them in a cascade model. Experiments on several movies and TV series indicate that, all together, they improve the speaker detection and localization accuracy by 7.5%-20.5%. Based on the locations of speakers, an efficient optimization algorithm for determining appropriate locations to place subtitles is proposed. This further enables us to develop an automatic end-to-end system for subtitle placement for TV series and movies. The second part of this thesis studies the speaker identification problem in videos. We propose a novel convolutional neural networks (CNN) based learning frame- work to automatically learn the fusion function of both faces and audio cues. A systematic multimodal dataset with face and audio samples collected from the real-life videos is created. The high variation of the samples in the dataset, including pose, illumination, facial expression, accessory, occlusion, image quality, scene and aging, wonderfully approximates the realistic scenarios and allows us to fully explore the potential of our method in practical applications. Extensive experiments on our new multi-modal dataset show that our method achieves state-of-the-art performance (over 90%) in speaker naming task without using face/person tracking, facial landmark localization or subtitle/transcript, thus making it suitable for real-life applications. The speaker-oriented techniques presented in this thesis have lots of applications for video processing. Through extensive experimental results on multiple real-life videos including TV series, movies and online video clips, we demonstrate the ability to extend our previous multimodal speaker localization and speaker identification algorithms in video processing tasks. Particularly, three main categories of applications are introduced, including (1) combine applying our…

Subjects/Keywords: Image processing - Digital techniques

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APA (6^th Edition):

Hu, Y. (2014). Multimodal speaker localization and identification for video processing. (Doctoral Dissertation). University of Hong Kong. Retrieved from Hu, Y. [胡永涛]. (2014). Multimodal speaker localization and identification for video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543983 ; http://dx.doi.org/10.5353/th_b5543983 ; http://hdl.handle.net/10722/226120

Chicago Manual of Style (16^th Edition):

Hu, Yongtao. “Multimodal speaker localization and identification for video processing.” 2014. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Hu, Y. [胡永涛]. (2014). Multimodal speaker localization and identification for video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543983 ; http://dx.doi.org/10.5353/th_b5543983 ; http://hdl.handle.net/10722/226120.

MLA Handbook (7^th Edition):

Hu, Yongtao. “Multimodal speaker localization and identification for video processing.” 2014. Web. 14 Oct 2019.

Vancouver:

Hu Y. Multimodal speaker localization and identification for video processing. [Internet] [Doctoral dissertation]. University of Hong Kong; 2014. [cited 2019 Oct 14]. Available from: Hu, Y. [胡永涛]. (2014). Multimodal speaker localization and identification for video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543983 ; http://dx.doi.org/10.5353/th_b5543983 ; http://hdl.handle.net/10722/226120.

Council of Science Editors:

Hu Y. Multimodal speaker localization and identification for video processing. [Doctoral Dissertation]. University of Hong Kong; 2014. Available from: Hu, Y. [胡永涛]. (2014). Multimodal speaker localization and identification for video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543983 ; http://dx.doi.org/10.5353/th_b5543983 ; http://hdl.handle.net/10722/226120

University of Hong Kong

4. Yao, Xinzhi. Object-based coding and watermarking for image-based rendering.

Degree: PhD, 2015, University of Hong Kong

URL: Yao, X. [姚欣志]. (2015). Object-based coding and watermarking for image-based rendering. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543989 ; http://dx.doi.org/10.5353/th_b5543989 ; http://hdl.handle.net/10722/226121

► Image-based rendering (IBR) has emerged as an important technique in virtual reality, digital museums, interactive visualization in multi-view TVs and many other rapidly developing areas… (more)

▼ Image-based rendering (IBR) has emerged as an important technique in virtual reality, digital museums, interactive visualization in multi-view TVs and many other rapidly developing areas in the information and communication technology industry. IBR utilizes densely sampled two-dimensional images to generate novel views needed at different viewpoints to describe the three-dimensional scene. IBR representations (image-based representations) usually involve large data sizes; thus their efficient compression is vital for IBR’s practical use. As IBR becomes more widely applied in academia and industry, protecting various image-based representations becomes increasingly important to ensure its proper use and the author’s intellectual property. Digital watermarking is a promising way to solve this issue. Though previous research has studied compression of IBR, efficient system has not yet been fully investigated. Meanwhile, watermarking in IBR is still a new demanding area which needs effective schemes to be developed. This work focuses on object-based coding and feature-based watermarking for image-based representations. Firstly, a multi-view object coding framework is proposed for image-based representations based on the Audio Video Coding Standard of China (AVS). Object-based coding compresses the IBR data (usually multi-view images/videos) at the object level. Image-based representations are first processed using object-based approach to segment and extract different objects within the data, each with their corresponding texture, depth map and shape information. The segmented objects are then compressed with state-of-the-art AVS coding techniques and tools. AVS-based object coding has the advantage of less complexity compared with H.264/AVC, while being more efficient than standardized object coding available in MPEG-4. The proposed framework supports multi-view coding to explore the redundancy between different views of the IBR data with efficient inter-frame and inter-view coding mode. Object-based temporal scalability is also achieved based on the proposed multi-view object coding framework. Secondly, a novel two-pass rate control framework is proposed based on a non-linear exponential rate-distortion model. Convex optimization is utilized to allocate the optimal bits among different coding units at different levels. Region-of-interest is readily achieved through assigning different important factors to different objects. Rate control with object-based temporal scalability is also addressed for object-based adaptive transmission. At the same time, an analytical model-based bit-allocation approach is further proposed as a complement of convex optimization-based approach towards real-time applications. Lastly, a feature-based watermarking system for copyright protection of image-based representations is developed. The proposed scheme uses scale invariant feature transform to extract robust feature points and formulate corresponding feature patches centered at the reference points in all the IBR views for…

Subjects/Keywords: Image processing - Digital techniques

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APA (6^th Edition):

Yao, X. (2015). Object-based coding and watermarking for image-based rendering. (Doctoral Dissertation). University of Hong Kong. Retrieved from Yao, X. [姚欣志]. (2015). Object-based coding and watermarking for image-based rendering. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543989 ; http://dx.doi.org/10.5353/th_b5543989 ; http://hdl.handle.net/10722/226121

Chicago Manual of Style (16^th Edition):

Yao, Xinzhi. “Object-based coding and watermarking for image-based rendering.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Yao, X. [姚欣志]. (2015). Object-based coding and watermarking for image-based rendering. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543989 ; http://dx.doi.org/10.5353/th_b5543989 ; http://hdl.handle.net/10722/226121.

MLA Handbook (7^th Edition):

Yao, Xinzhi. “Object-based coding and watermarking for image-based rendering.” 2015. Web. 14 Oct 2019.

Vancouver:

Yao X. Object-based coding and watermarking for image-based rendering. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Oct 14]. Available from: Yao, X. [姚欣志]. (2015). Object-based coding and watermarking for image-based rendering. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543989 ; http://dx.doi.org/10.5353/th_b5543989 ; http://hdl.handle.net/10722/226121.

Council of Science Editors:

Yao X. Object-based coding and watermarking for image-based rendering. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Yao, X. [姚欣志]. (2015). Object-based coding and watermarking for image-based rendering. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5543989 ; http://dx.doi.org/10.5353/th_b5543989 ; http://hdl.handle.net/10722/226121

University of Hong Kong

5. Zhang, Wei. Deep learning based automatic colorization and color sketch generation.

Degree: PhD, 2017, University of Hong Kong

URL: http://hdl.handle.net/10722/250808

►

In recent years, due to the booming prevalence and rapid technological advances in mobile devices, tremendous amounts of photographs have been recorded, posted and circulated… (more)

▼

In recent years, due to the booming prevalence and rapid technological advances in mobile devices, tremendous amounts of photographs have been recorded, posted and circulated over social networks. Sustained efforts from both research communities and the industry have been made for smart image editing applications which help consumers beautify and stylize their photographs. As human intelligence is capable of analyzing and understanding images, developing automatic image transform algorithms that fulfill humans' preference, such as color and style, is also important in the research of computer graphics and artificial intelligence. This thesis focuses on two automatic image transform tasks using deep learning based approaches, one is colorization which aims to convert grayscale images to colorful ones; another one is color sketch style transfer which is to generate color sketches from natural photographs. I formulate image colorization as a pixel-wise prediction problem utilizing deep fully convolutional neural networks. In order to maintain color consistency in homogeneous regions as well as precisely distinguishing colors near region boundaries, I propose a novel fully automatic colorization pipeline which involves a boundary-guided CRF and a CNN-based color transform as post-processing steps. In addition, as there usually exist multiple plausible colorization proposals for a single image, automatic evaluation for different colorization methods remains a challenging task. I further introduce two novel automatic evaluation schemes to efficiently assess colorization quality in terms of spatial coherence and localization. Comprehensive experiments demonstrate great quality improvement in results of our proposed colorization method under multiple evaluation metrics. For color sketch generation, I develop a fully automatic image transform system which extends the state-of-the-art real-time neural-style transfer method. Due to the unique characteristics of the texture statistics of color sketch style artworks, it is extremely difficult to generate color sketches using existing deep neural-style transfer method. I address this problem by choosing suitable style target online from a color sketch example set which consists of 10 example color sketches selected by clustering. I also propose a novel image transform CNN architecture with spatial refinement which benefits learning high-resolution style transfer. Moreover, a boundary perceptual loss that is complementary to the style and content loss is proposed to maintain object boundaries in color sketch generation. The final step in our system is to enhance gouache colors via a linear color transform followed by a guided filtering operation. Experimental results demonstrate that our system greatly reduces artifacts compared to previous state-of-the-art methods, producing vivid color sketch results.

published_or_final_version

Computer Science

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yu, Y.

Subjects/Keywords: Digital techniques - Image processing

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APA (6^th Edition):

Zhang, W. (2017). Deep learning based automatic colorization and color sketch generation. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/250808

Chicago Manual of Style (16^th Edition):

Zhang, Wei. “Deep learning based automatic colorization and color sketch generation.” 2017. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. http://hdl.handle.net/10722/250808.

MLA Handbook (7^th Edition):

Zhang, Wei. “Deep learning based automatic colorization and color sketch generation.” 2017. Web. 14 Oct 2019.

Vancouver:

Zhang W. Deep learning based automatic colorization and color sketch generation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2017. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10722/250808.

Council of Science Editors:

Zhang W. Deep learning based automatic colorization and color sketch generation. [Doctoral Dissertation]. University of Hong Kong; 2017. Available from: http://hdl.handle.net/10722/250808

Hong Kong University of Science and Technology

6. Chen, Jia. Visual enhancement using multiple cues.

Degree: 2009, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1070853 ; http://repository.ust.hk/ir/bitstream/1783.1-6328/1/th_redirect.html

► Despite the advances in imaging technology, fundamental limitations of camera still exist and captured photographs can be defective. Two major types of defects are blur… (more)

▼ Despite the advances in imaging technology, fundamental limitations of camera still exist and captured photographs can be defective. Two major types of defects are blur and noise. Enhancement of image and video is an important topic in computer vision and graphics, because it can serve as not only a pre-processing step for other algorithms but also a post-processing step to directly produce enhanced output for users. In this thesis, I will explore the issues and propose solutions to visual enhancement given images corrupted by blur and noise. There are a great number of previous works and most of them use a single image for the purpose of enhancement. This thesis will handle the problem from a different perspective: using multiple cues for visual enhancement. New cues are introduced in addition to the source image itself for specific problems. In deblurring, we introduce one more shot thus converting the problem from using a single image to using two images. In denoising problem, we use the noise layer as well as the noisy image for image noise separation. We formulate video denoising by optimizing one frame with multiple temporal observations. While it is intuitive that using multiple cues will provide us with more information for enhancement, many research challenges remain to be solved. First of all, it is important to construct and collect multiple cues in proper ways. Second, these cues should be linked in a computational framework. The theme of this thesis is centered at a unified multi-cue enhancement approach, where we emphasize the importance of invariant quantity in linking multiple cues. Specific optimization procedures will be designed to integrate prior knowledge with these observations. I will first analyze image deblurring problem using two blurry images. Assuming that the two inputs are taken from the same static scene, the invariant quantity is the common clear image. Since the two input images have different motion blur defects, their frequency spectrums are complementary to each other. A feedback algorithm is proposed to iterate over kernel estimation and image deconvolution steps. This approach introduces an image prior and a motion prior in the context of multiple observations. Consequently, the visual quality of enhancement is greatly improved compared to previous method using single images. The second part of this thesis will focus on denoising. Removing noise from images has been studied for decades. However, most previous automatic approaches only take the image itself as the processing target. We show that even with a single input image, an auxiliary cue, namely the noise layer can be constructed. The optimization can now be performed on both image layer and noise layer. Using the extracted noise layer, the artifacts of denoising algorithms can be easily visualized. We propose an interactive system based on this representation, which helps the user to achieve high quality image noise separation results. The image denoising system will be extended to video where multiple frames exist as…

Subjects/Keywords: Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, J. (2009). Visual enhancement using multiple cues. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1070853 ; http://repository.ust.hk/ir/bitstream/1783.1-6328/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Jia. “Visual enhancement using multiple cues.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1070853 ; http://repository.ust.hk/ir/bitstream/1783.1-6328/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Jia. “Visual enhancement using multiple cues.” 2009. Web. 14 Oct 2019.

Vancouver:

Chen J. Visual enhancement using multiple cues. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1070853 ; http://repository.ust.hk/ir/bitstream/1783.1-6328/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen J. Visual enhancement using multiple cues. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: https://doi.org/10.14711/thesis-b1070853 ; http://repository.ust.hk/ir/bitstream/1783.1-6328/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

7. 姚溢訊.; Yiu, Yat-shun. Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition.

Degree: M. Phil., 2009, University of Hong Kong

URL: Yiu, Y. [姚溢訊]. (2009). Improving the contrast resolution of synthetic aperture imaging : motion artifact reduction based on interleaved data acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4327867 ; http://dx.doi.org/10.5353/th_b4327867 ; http://hdl.handle.net/10722/56805

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Advisors/Committee Members: Yu, ACH, Cheung, PYS.

Subjects/Keywords: Image processing - Digital techniques.; Interferometry.

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APA (6^th Edition):

姚溢訊.; Yiu, Y. (2009). Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition. (Masters Thesis). University of Hong Kong. Retrieved from Yiu, Y. [姚溢訊]. (2009). Improving the contrast resolution of synthetic aperture imaging : motion artifact reduction based on interleaved data acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4327867 ; http://dx.doi.org/10.5353/th_b4327867 ; http://hdl.handle.net/10722/56805

Chicago Manual of Style (16^th Edition):

姚溢訊.; Yiu, Yat-shun. “Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition.” 2009. Masters Thesis, University of Hong Kong. Accessed October 14, 2019. Yiu, Y. [姚溢訊]. (2009). Improving the contrast resolution of synthetic aperture imaging : motion artifact reduction based on interleaved data acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4327867 ; http://dx.doi.org/10.5353/th_b4327867 ; http://hdl.handle.net/10722/56805.

MLA Handbook (7^th Edition):

姚溢訊.; Yiu, Yat-shun. “Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition.” 2009. Web. 14 Oct 2019.

Vancouver:

姚溢訊.; Yiu Y. Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition. [Internet] [Masters thesis]. University of Hong Kong; 2009. [cited 2019 Oct 14]. Available from: Yiu, Y. [姚溢訊]. (2009). Improving the contrast resolution of synthetic aperture imaging : motion artifact reduction based on interleaved data acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4327867 ; http://dx.doi.org/10.5353/th_b4327867 ; http://hdl.handle.net/10722/56805.

Council of Science Editors:

姚溢訊.; Yiu Y. Improving the contrast resolution of synthetic aperture imaging: motion artifact reduction based oninterleaved data acquisition. [Masters Thesis]. University of Hong Kong; 2009. Available from: Yiu, Y. [姚溢訊]. (2009). Improving the contrast resolution of synthetic aperture imaging : motion artifact reduction based on interleaved data acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4327867 ; http://dx.doi.org/10.5353/th_b4327867 ; http://hdl.handle.net/10722/56805

University of Hong Kong

8. 朱珊珊; Zhu, Shanshan. Using semantic sub-scenes to facilitate scene categorization and understanding.

Degree: PhD, 2014, University of Hong Kong

URL: Zhu, S. [朱珊珊]. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5317047 ; http://dx.doi.org/10.5353/th_b5317047 ; http://hdl.handle.net/10722/206459

► This thesis proposes to learn the absent cognitive element in conventional scene categorization methods: sub-scenes, and use them to better categorize and understand scenes. In… (more)

▼ This thesis proposes to learn the absent cognitive element in conventional scene categorization methods: sub-scenes, and use them to better categorize and understand scenes. In scene categorization, it has been observed that the problem of ambiguity occurs when treating the scene as a whole. Scene ambiguity arises from when a similar set of sub-scenes are arranged differently to compose different scenes, or when a scene literally contains several categories. However, these ambiguities can be discerned by the knowledge of sub-scenes. Thus, it is worthy to study sub-scenes and use them to better understand a scene. The proposed research firstly considers an unsupervised method to segment sub-scenes. It emphasizes on generating more integral regions instead of over-segmented regions usually produced by conventional segmentation methods. Several properties of sub-scenes are explored such as proximity grouping, area of influence, similarity and harmony based on psychological principles. These properties are formulated into constraints that are used directly in the proposed framework. A self-determined approach is employed to produce a final segmentation result based on the characteristics of each image in an unsupervised manner. The proposed method performs competitively against other state-of-the-art unsupervised segmentation methods with F-measure of 0.55, Covering of 0.51 and VoI of 1.93 in the Berkeley segmentation dataset. In the Stanford background dataset, it achieves the overlapping score of 0.566 which is higher than the score of 0.499 of the comparison method. To segment and label sub-scenes simultaneously, a supervised approach of semantic segmentation is proposed. It is developed based on a Hierarchical Conditional Random Field classification framework. The proposed method integrates contextual information into the model to improve classification performance. Contextual information including global consistency and spatial context are considered in the proposed method. Global consistency is developed based on generalizing the scene by scene types and spatial context takes the spatial relationship into account. The proposed method improves semantic segmentation by boosting more logical class combinations. It achieves the best score in the MSRC-21 dataset with global accuracy at 87% and the average accuracy at 81%, which out-performs all other state-of-the-art methods by 4% individually. In the Stanford background dataset, it achieves global accuracy at 80.5% and average accuracy at 71.8%, also out-performs other methods by 2%. Finally, the proposed research incorporates sub-scenes into the scene categorization framework to improve categorization performance, especially in ambiguity cases. The proposed method encodes the sub-scene in the way that their spatial information is also considered. Sub-scene descriptor compensates the global descriptor of a scene by evaluating local features with specific geometric attributes. The proposed method obtains an average categorization accuracy of 92.26% in the 8… Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Image processing - Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

朱珊珊; Zhu, S. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Doctoral Dissertation). University of Hong Kong. Retrieved from Zhu, S. [朱珊珊]. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5317047 ; http://dx.doi.org/10.5353/th_b5317047 ; http://hdl.handle.net/10722/206459

Chicago Manual of Style (16^th Edition):

朱珊珊; Zhu, Shanshan. “Using semantic sub-scenes to facilitate scene categorization and understanding.” 2014. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Zhu, S. [朱珊珊]. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5317047 ; http://dx.doi.org/10.5353/th_b5317047 ; http://hdl.handle.net/10722/206459.

MLA Handbook (7^th Edition):

朱珊珊; Zhu, Shanshan. “Using semantic sub-scenes to facilitate scene categorization and understanding.” 2014. Web. 14 Oct 2019.

Vancouver:

朱珊珊; Zhu S. Using semantic sub-scenes to facilitate scene categorization and understanding. [Internet] [Doctoral dissertation]. University of Hong Kong; 2014. [cited 2019 Oct 14]. Available from: Zhu, S. [朱珊珊]. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5317047 ; http://dx.doi.org/10.5353/th_b5317047 ; http://hdl.handle.net/10722/206459.

Council of Science Editors:

朱珊珊; Zhu S. Using semantic sub-scenes to facilitate scene categorization and understanding. [Doctoral Dissertation]. University of Hong Kong; 2014. Available from: Zhu, S. [朱珊珊]. (2014). Using semantic sub-scenes to facilitate scene categorization and understanding. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5317047 ; http://dx.doi.org/10.5353/th_b5317047 ; http://hdl.handle.net/10722/206459

University of Hong Kong

9. 李佳; Li, Jia. Computational imaging technologies for optical lithography extension.

Degree: PhD, 2014, University of Hong Kong

URL: Li, J. [李佳]. (2014). Computational imaging technologies for optical lithography extension. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328034 ; http://dx.doi.org/10.5353/th_b5328034 ; http://hdl.handle.net/10722/206757

►

With the development and production of integrated circuits at the 22nm node, optical lithography faces increasing challenges to keep up with the specifications on its… (more)

▼

With the development and production of integrated circuits at the 22nm node, optical lithography faces increasing challenges to keep up with the specifications on its performance along various metrics, such as pattern fidelity and process window. The past few years saw the emergence of source mask optimization (SMO) as an important technique in computational lithography, which allows lithographers to rise to the challenges by exploiting a larger design space on both mask and illumination configuration, and integrates with methods such as inverse imaging. Yet, many methods that are used to tackle SMO problem arising in the inverse imaging involve heavy computation and slow convergence, making the technique unappealing for full-chip simulations or large circuits. Therefore, the purpose of this research is to take advantage of computational imaging technologies to solve source and mask design problems, extending the lifetime of optical lithography. The computational burden results in part from identical optimization over the whole mask pattern, consequently, we propose a weighted SMO scheme which applies different degrees of correction in the corresponding regions so that the optimal solutions are reached with fewer iterations. Additionally, undesirably long time is also attributed to the algorithm adopted to solve SMO problem. A fast algorithm based on augmented Lagrangian methods is therefore developed, which use the quasi-Newton method to accelerate convergence, thereby shortening the overall execution time. However, as semiconductor lithography is pushed to even smaller dimensions, mask topography effects have to be taken into account for a more accurate solution of SMO. At this stage, intensive computation is spent mainly in rigorous 3D mask modeling and simulations. To address this issue, we devise an optimization framework incorporating pupil aberrations into SMO procedure, which is performed based on the thin mask model so as to ensure a faster speed. We apply the above approaches to various mask geometries with different critical dimensions. Compared to conventional SMO, simulation results show that the proposed methods lead to better pattern fidelity and larger process window, especially in rigorous calculations. This demonstrates that the source and mask design generated through our algorithms are more practical. More importantly, the improved performance is not at the cost of speed. Instead, our methods take the least time to achieve it. This allows the advantages of computational imaging technologies to be worth exploring for further applications in optical lithography.

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Lam, EYM.

Subjects/Keywords: Image processing - Digital techniques; Microlithography

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

李佳; Li, J. (2014). Computational imaging technologies for optical lithography extension. (Doctoral Dissertation). University of Hong Kong. Retrieved from Li, J. [李佳]. (2014). Computational imaging technologies for optical lithography extension. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328034 ; http://dx.doi.org/10.5353/th_b5328034 ; http://hdl.handle.net/10722/206757

Chicago Manual of Style (16^th Edition):

李佳; Li, Jia. “Computational imaging technologies for optical lithography extension.” 2014. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Li, J. [李佳]. (2014). Computational imaging technologies for optical lithography extension. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328034 ; http://dx.doi.org/10.5353/th_b5328034 ; http://hdl.handle.net/10722/206757.

MLA Handbook (7^th Edition):

李佳; Li, Jia. “Computational imaging technologies for optical lithography extension.” 2014. Web. 14 Oct 2019.

Vancouver:

李佳; Li J. Computational imaging technologies for optical lithography extension. [Internet] [Doctoral dissertation]. University of Hong Kong; 2014. [cited 2019 Oct 14]. Available from: Li, J. [李佳]. (2014). Computational imaging technologies for optical lithography extension. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328034 ; http://dx.doi.org/10.5353/th_b5328034 ; http://hdl.handle.net/10722/206757.

Council of Science Editors:

李佳; Li J. Computational imaging technologies for optical lithography extension. [Doctoral Dissertation]. University of Hong Kong; 2014. Available from: Li, J. [李佳]. (2014). Computational imaging technologies for optical lithography extension. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328034 ; http://dx.doi.org/10.5353/th_b5328034 ; http://hdl.handle.net/10722/206757

University of Hong Kong

10. 覃剑钊.; Qin, Jianzhao. Scene categorization based on multiple-feature reinforced contextual visual words.

Degree: PhD, 2011, University of Hong Kong

URL: Qin, J. [覃剑钊]. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4696977 ; http://dx.doi.org/10.5353/th_b4696977 ; http://hdl.handle.net/10722/144774

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Image processing - Digital techniques.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

覃剑钊.; Qin, J. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Doctoral Dissertation). University of Hong Kong. Retrieved from Qin, J. [覃剑钊]. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4696977 ; http://dx.doi.org/10.5353/th_b4696977 ; http://hdl.handle.net/10722/144774

Chicago Manual of Style (16^th Edition):

覃剑钊.; Qin, Jianzhao. “Scene categorization based on multiple-feature reinforced contextual visual words.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Qin, J. [覃剑钊]. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4696977 ; http://dx.doi.org/10.5353/th_b4696977 ; http://hdl.handle.net/10722/144774.

MLA Handbook (7^th Edition):

覃剑钊.; Qin, Jianzhao. “Scene categorization based on multiple-feature reinforced contextual visual words.” 2011. Web. 14 Oct 2019.

Vancouver:

覃剑钊.; Qin J. Scene categorization based on multiple-feature reinforced contextual visual words. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2019 Oct 14]. Available from: Qin, J. [覃剑钊]. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4696977 ; http://dx.doi.org/10.5353/th_b4696977 ; http://hdl.handle.net/10722/144774.

Council of Science Editors:

覃剑钊.; Qin J. Scene categorization based on multiple-feature reinforced contextual visual words. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Qin, J. [覃剑钊]. (2011). Scene categorization based on multiple-feature reinforced contextual visual words. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4696977 ; http://dx.doi.org/10.5353/th_b4696977 ; http://hdl.handle.net/10722/144774

11. Yeo, Si Yong. Implicit deformable models for biomedical image segmentation.

Degree: PhD, 2011, Swansea University

URL: https://cronfa.swan.ac.uk/Record/cronfa42416 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678505

► In this thesis, new methods for the efficient segmentation of images are presented. The proposed methods are based on the deformable model approach, and can… (more)

▼ In this thesis, new methods for the efficient segmentation of images are presented. The proposed methods are based on the deformable model approach, and can be used efficiently in the segmentation of complex geometries from various imaging modalities. A novel deformable model that is based on a geometrically induced external force field which can be conveniently generalized to arbitrary dimensions is presented. This external force field is based on hypothesized interactions between the relative geometries of the deformable model and the object boundary characterized by image gradient. The evolution of the deformable model is solved using the level set method so that topological changes are handled automatically. The relative geometrical configurations between the deformable model and the object boundaries contributes to a dynamic vector force field that changes accordingly as the deformable model evolves. The geometrically induced dynamic interaction force has been shown to greatly improve the deformable model performance in acquiring complex geometries and highly concave boundaries, and give the deformable model a high invariance in initialization configurations. The voxel interactions across the whole image domain provides a global view of the object boundary representation, giving the external force a long attraction range. The bidirectionality of the external force held allows the new deformable model to deal with arbitrary cross-boundary initializations, and facilitates the handling of weak edges and broken boundaries. In addition, it is shown that by enhancing the geometrical interaction field with a nonlocal edge-preserving algorithm, the new deformable model can effectively overcome image noise. A comparative study on the segmentation of various geometries with different topologies from both synthetic and real images is provided, and the proposed method is shown to achieve significant improvements against several existing techniques. A robust framework for the segmentation of vascular geometries is described. In particular, the framework consists of image denoising, optimal object edge representation, and segmentation using implicit deformable model. The image denoising is based on vessel enhancing diffusion which can be used to smooth out image noise and enhance the vessel structures. The image object boundaries are derived using an edge detection technique which can produce object edges of single pixel width. The image edge information is then used to derive the geometric interaction field for optimal object edge representation. The vascular geometries are segmented using an implict deformable model. A region constraint is added to the deformable model which allows it to easily get around calcified regions and propagate across the vessels to segment the structures efficiently. The presented framework is ai)plied in the accurate segmentation of carotid geometries from medical images. A new segmentation model with statistical shape prior using a variational approach is also presented in this thesis. The…

Subjects/Keywords: 621.36; Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yeo, S. Y. (2011). Implicit deformable models for biomedical image segmentation. (Doctoral Dissertation). Swansea University. Retrieved from https://cronfa.swan.ac.uk/Record/cronfa42416 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678505

Chicago Manual of Style (16^th Edition):

Yeo, Si Yong. “Implicit deformable models for biomedical image segmentation.” 2011. Doctoral Dissertation, Swansea University. Accessed October 14, 2019. https://cronfa.swan.ac.uk/Record/cronfa42416 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678505.

MLA Handbook (7^th Edition):

Yeo, Si Yong. “Implicit deformable models for biomedical image segmentation.” 2011. Web. 14 Oct 2019.

Vancouver:

Yeo SY. Implicit deformable models for biomedical image segmentation. [Internet] [Doctoral dissertation]. Swansea University; 2011. [cited 2019 Oct 14]. Available from: https://cronfa.swan.ac.uk/Record/cronfa42416 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678505.

Council of Science Editors:

Yeo SY. Implicit deformable models for biomedical image segmentation. [Doctoral Dissertation]. Swansea University; 2011. Available from: https://cronfa.swan.ac.uk/Record/cronfa42416 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678505

University of Johannesburg

12. Coetzee, Willie. Removal of rain from images by means of digital filters and camera obscuration techniques.

Degree: 2014, University of Johannesburg

URL: http://hdl.handle.net/10210/11524

►

M. Ing. (Mechanical Engineering)

This research aims at identifying techniques which can be used to remove rain from a digitized rain distorted image. The research… (more)

Subjects/Keywords: Image processing - Digital techniques

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APA (6^th Edition):

Coetzee, W. (2014). Removal of rain from images by means of digital filters and camera obscuration techniques. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/11524

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Coetzee, Willie. “Removal of rain from images by means of digital filters and camera obscuration techniques.” 2014. Thesis, University of Johannesburg. Accessed October 14, 2019. http://hdl.handle.net/10210/11524.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Coetzee, Willie. “Removal of rain from images by means of digital filters and camera obscuration techniques.” 2014. Web. 14 Oct 2019.

Vancouver:

Coetzee W. Removal of rain from images by means of digital filters and camera obscuration techniques. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10210/11524.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Coetzee W. Removal of rain from images by means of digital filters and camera obscuration techniques. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/11524

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Johannesburg

13. Visser, Willem. HandsFree: a marker-free visual based input prototype for menu driven systems.

Degree: 2010, University of Johannesburg

URL: http://hdl.handle.net/10210/3056

►

M.Ing.

This dissertation proposes a marker-free visual based interface device to be used with menu driven systems. This system, called HandsFree, uses the Graphics Processing… (more)

Subjects/Keywords: Image processing digital techniques

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APA (6^th Edition):

Visser, W. (2010). HandsFree: a marker-free visual based input prototype for menu driven systems. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/3056

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Visser, Willem. “HandsFree: a marker-free visual based input prototype for menu driven systems.” 2010. Thesis, University of Johannesburg. Accessed October 14, 2019. http://hdl.handle.net/10210/3056.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Visser, Willem. “HandsFree: a marker-free visual based input prototype for menu driven systems.” 2010. Web. 14 Oct 2019.

Vancouver:

Visser W. HandsFree: a marker-free visual based input prototype for menu driven systems. [Internet] [Thesis]. University of Johannesburg; 2010. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10210/3056.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Visser W. HandsFree: a marker-free visual based input prototype for menu driven systems. [Thesis]. University of Johannesburg; 2010. Available from: http://hdl.handle.net/10210/3056

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Wisconsin – Oshkosh

14. Long, James Jianzhou. Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing.

Degree: the requirements for the degree ofMS, Physics, Instrumentation., 2009, University of Wisconsin – Oshkosh

URL: http://digital.library.wisc.edu/1793/31965

►

Thesis submitted in partial fulfillment of the requirements for the degree of the requirements for the degree of Master of Science - Physics, Instrumentation.

Homomorphic… (more)

Subjects/Keywords: Image processing; Digital techniques; Physics; Image analysis

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APA (6^th Edition):

Long, J. J. (2009). Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing. (Thesis). University of Wisconsin – Oshkosh. Retrieved from http://digital.library.wisc.edu/1793/31965

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Long, James Jianzhou. “Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing.” 2009. Thesis, University of Wisconsin – Oshkosh. Accessed October 14, 2019. http://digital.library.wisc.edu/1793/31965.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Long, James Jianzhou. “Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing.” 2009. Web. 14 Oct 2019.

Vancouver:

Long JJ. Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing. [Internet] [Thesis]. University of Wisconsin – Oshkosh; 2009. [cited 2019 Oct 14]. Available from: http://digital.library.wisc.edu/1793/31965.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Long JJ. Digital image processing : homomorphic image enhancement, image restoration and phase-only image processing. [Thesis]. University of Wisconsin – Oshkosh; 2009. Available from: http://digital.library.wisc.edu/1793/31965

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

15. Pang, Jiahao. Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain.

Degree: 2016, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1731778 ; http://repository.ust.hk/ir/bitstream/1783.1-87531/1/th_redirect.html

► To process discrete digital images, a straightforward approach is to view them as arrays of numbers and then directly operate on the arrays. An alternative… (more)

▼ To process discrete digital images, a straightforward approach is to view them as arrays of numbers and then directly operate on the arrays. An alternative paradigm, however, is to regard them as samples from continuous signals. Hence, we can apply a continuous model to analyze and resolve discrete image processing problems. By virtue of this continuous-domain paradigm, more mathematical tools become available and formal continuous analysis can be performed, providing profound insights into the problem being considered. Moreover, for problems involving entities that are inherently continuous, it is more accurate to do analysis in the continuous domain. In this thesis, we focus on two image processing problems: graph-based image restoration and subpixel-based image scaling. Unlike existing works applying the continuous-domain paradigm, it is non-trivial to analyze these two problems in the continuous domain. However, we manage to do so and answer/resolve several fundamental aspects of the two problems. We first consider the problem of image restoration with graph Laplacian regularization. A graph Laplacian regularizer is a recent, popular prior assuming the target pixel patch to be smooth with respect to an appropriately chosen graph. However, the mechanisms and implications of imposing the graph Laplacian regularizer on the original inverse problem are not well understood. In this work, we interpret neighborhood graphs of pixel patches as discrete counterparts of Riemannian manifolds and perform analysis in the continuous domain, bringing novel understandings to several key problems of graph Laplacian regularization. Specifically, we show the convergence of the graph Laplacian regularizer to a continuous-domain functional and derive the optimal graph Laplacian regularizer for the problem of image denoising. Then with the notion of anisotropic diffusion, we explain the behavior of graph Laplacian regularization during iterations, e.g., its tendency to promote piecewise smooth signals under certain settings. To verify the analysis, an iterative image denoising algorithm is developed. Experimental results show that our algorithm performs competitively with state-of-the-art denoising methods for natural images, and outperforms them significantly for piecewise smooth images. In the second problem, we aim at re-scaling a given image for a color display panel by controlling its subpixels individually, so as to improve the luminance resolution of the displayed image. However, improved luminance resolution brings chrominance distortion, making it crucial to suppress color error while maintaining sharpness. Moreover, it is difficult to develop a scheme that is applicable for various subpixel arrangements and for arbitrary scaling factors. By taking into account the low-pass nature of the human visual system (HVS), we address the aforementioned issues with a generalized continuous-domain analysis model. Our developed continuous-domain algorithm is accurate. The error of the resulting images is only introduced by the discrete…

Subjects/Keywords: Image processing; Digital techniques; Image reconstruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pang, J. (2016). Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1731778 ; http://repository.ust.hk/ir/bitstream/1783.1-87531/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pang, Jiahao. “Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1731778 ; http://repository.ust.hk/ir/bitstream/1783.1-87531/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pang, Jiahao. “Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain.” 2016. Web. 14 Oct 2019.

Vancouver:

Pang J. Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1731778 ; http://repository.ust.hk/ir/bitstream/1783.1-87531/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pang J. Graph-based image restoration and subpixel-based image scaling : analysis in the continuous domain. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: https://doi.org/10.14711/thesis-b1731778 ; http://repository.ust.hk/ir/bitstream/1783.1-87531/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

16. Yang, Yi. Reweighted compressive sensing for image signals.

Degree: 2009, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1071113 ; http://repository.ust.hk/ir/bitstream/1783.1-6373/1/th_redirect.html

► Compressive Sampling (CS) is an emerging theory which points us to a promising direction of designing novel efficient data compression techniques. However, due to the… (more)

Subjects/Keywords: Image compression; Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yang, Y. (2009). Reweighted compressive sensing for image signals. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1071113 ; http://repository.ust.hk/ir/bitstream/1783.1-6373/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Yi. “Reweighted compressive sensing for image signals.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1071113 ; http://repository.ust.hk/ir/bitstream/1783.1-6373/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Yi. “Reweighted compressive sensing for image signals.” 2009. Web. 14 Oct 2019.

Vancouver:

Yang Y. Reweighted compressive sensing for image signals. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1071113 ; http://repository.ust.hk/ir/bitstream/1783.1-6373/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Y. Reweighted compressive sensing for image signals. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: https://doi.org/10.14711/thesis-b1071113 ; http://repository.ust.hk/ir/bitstream/1783.1-6373/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

17. Li, Sijin. Compression of similar images.

Degree: 2012, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1197973 ; http://repository.ust.hk/ir/bitstream/1783.1-7776/1/th_redirect.html

► With wide spread availability of digital cameras, smart phones and other imaging devices, large amount of similar images are routinely created. Such images need to… (more)

▼ With wide spread availability of digital cameras, smart phones and other imaging devices, large amount of similar images are routinely created. Such images need to be compressed for storage and communication purposes. Instead of compressing each image individually, it is possible to achieve higher compression efficiency by compressing the whole set of similar images together. Any such similar image compression scheme needs to support random access as users may want to access the images in any random order. To reduce the inter-image redundancy, one key problem is the construction of predictors to minimize the inter-image redundancy. The existing methods are not effective in their predictors and intra prediction design. In this thesis, we propose a compression method for medical images based on low frequency features of the images. We observe that the pairwise similarities among the similar images are not uniform among the images. Some pairs have similarity for a relatively small frequency band only. Some have similarity for wider frequency bands. Motivated by this, we propose a set of multi-level low frequency templates as predictors for each image. The resulting difference images tend to have lower entropy and require fewer bits to encode than the single-level low frequency template method. Results suggest that up to 30% of gain is possible. The performance gain is more obvious in larger sets of similar images with higher dissimilarity. We also propose an effective compression scheme for photo albums based on global/local motion estimation and compensation, and intra prediction. We observe that many photos in photo albums are very similar in the sense that basically they capture the same scene with different camera zoom factors, different rotational positions and different translational positions. The global motion estimation and compensation can account for such camera motion among similar photos. On the other hand, the local motion estimation and compensation can account for object motions. Experiments suggest that this algorithm can achieve considerable performance gain. Index Terms— Image compression, set redundancy compression, photo album compression

Subjects/Keywords: Image compression; Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, S. (2012). Compression of similar images. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1197973 ; http://repository.ust.hk/ir/bitstream/1783.1-7776/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Sijin. “Compression of similar images.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1197973 ; http://repository.ust.hk/ir/bitstream/1783.1-7776/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Sijin. “Compression of similar images.” 2012. Web. 14 Oct 2019.

Vancouver:

Li S. Compression of similar images. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1197973 ; http://repository.ust.hk/ir/bitstream/1783.1-7776/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li S. Compression of similar images. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1197973 ; http://repository.ust.hk/ir/bitstream/1783.1-7776/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

18. Zou, Ruobing. Digital photo album compression and HEVC related issues.

Degree: 2013, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1214734 ; http://repository.ust.hk/ir/bitstream/1783.1-7872/1/th_redirect.html

► In recent years, the advance in computer, IC, internet, cloud, and multimedia technologies have led to widespread usage of digital photos and videos in our… (more)

▼ In recent years, the advance in computer, IC, internet, cloud, and multimedia technologies have led to widespread usage of digital photos and videos in our everyday multimedia-enabled lives. A consumer can easily have many photo albums each of which contain many JPEG images taken in the same occasion. Typically many photos taken in the same occasion are similar, with similar people and background. With explosive growth of photo albums in the consumers personal computer and in the cloud (such as facebook, twitter, Google, Renren, etc), the cost to store and transmit such digital images can be very significant. Thus it is important to compress these images efficiently. In this thesis, we propose some novel effective photo album compression algorithms to achieve higher compression efficiency than existing methods. Observing that many images in albums are similar, we assume that similar images can be clustered and identified and we develop efficient ways to compress each set of similar JPEG images using video coding techniques. Our approach is to arrange all the similar images into some kind tree structure with many roots and branches and then apply video coding technique along each branch. To maximize the inter-frame correlation between adjacent photos along the branches in a tree, we consider both the minimum spanning tree (MST) and the spanning forest to achieve minimum inter-frame prediction cost. As an unconstrained tree can be very deep which can result in very long delay during random access, we consider trees with limited depth to achieve good random access performance. Taking advantage of the latest High Efficiency Video Coding (HEVC) standard, we consider several possible HEVC frame configuration in search of the best. Our methods can support common photo albums operations such as addition of new images, deletion of useless images and modification of existing images. Experiments suggest that the proposed methods can achieve signficant gain in coding efficiency compared with the common JPEG format. Apart from the above research, this thesis also contains an improvement to HEVC. In the state-of-art video coding standard HEVC, temporal motion vector (MV) predictor is adopted in order to improve coding efficiency. However, motion vector information in reference frames, which is used by temporal MV predictor, takes large amount of bits in memory storage. Therefore motion data needs to be compressed before storing into buffer. Accordingly we propose an adaptive motion data storage reduction method. First, it divides the current 16x16 block in the reference frame into four partitions. One MV is sampled from each partition and all sampled MVs form a MV candidate set. Then it will check if one or two MVs should be stored into the MV buffer by checking the maximum distance between any two of the MVs in the candidate set. If the maximum distance is greater than a certain threshold, the motion data of the two MVs that have maximum distance are put into memory; otherwise the motion data of the upper left block is stored.…

Subjects/Keywords: Image compression; Image processing; Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zou, R. (2013). Digital photo album compression and HEVC related issues. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1214734 ; http://repository.ust.hk/ir/bitstream/1783.1-7872/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zou, Ruobing. “Digital photo album compression and HEVC related issues.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1214734 ; http://repository.ust.hk/ir/bitstream/1783.1-7872/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zou, Ruobing. “Digital photo album compression and HEVC related issues.” 2013. Web. 14 Oct 2019.

Vancouver:

Zou R. Digital photo album compression and HEVC related issues. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1214734 ; http://repository.ust.hk/ir/bitstream/1783.1-7872/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zou R. Digital photo album compression and HEVC related issues. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1214734 ; http://repository.ust.hk/ir/bitstream/1783.1-7872/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

19. Farzam, Masoud. Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach.

Degree: 2011, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1212

► Recent hyperspectral applications demand for higher accuracy and speed. This thesis develops a hyperspectral application analysis solution to address challenges in the different steps of… (more)

▼ Recent hyperspectral applications demand for higher accuracy and speed. This thesis develops a hyperspectral application analysis solution to address challenges in the different steps of denoising, order selection and unmixing of hyperspectral application data. Currently, all these steps process the data in cascade to achieve the optimum results. While in existing approaches the desired criterion is different in these steps, the proposed simultaneous Denoising and Intrinsic Order Selection (DIOS) method unifies these criteria. This property not only makes more sense for the desired optimization problem, but also leads to a faster processing algorithm. Consequently, DIOS avoids possible error propagation from the denoising stage to the dimension estimation stage, leading to more accurate results. The proposed method is based on minimizing the estimated Mean Square Error (MSE). The success rate of existing dimension estimation methods declines with the increase of image dimension and the decrease of Signal-to-Noise Ratio (SNR).The most competitive method fails to detect the correct dimension in 30% of cases around 2dB. However, in simulation results DIOS is shown to be successful with a failure rate of about 5%. The proposed unmixing method, based on a simple least square estimation, improves the speed performance least 10 times for an average-sized data cube of 2MB. Compared to some well known existing approaches, the unmixing method improves the estimated MSE up to 60% for SNR<10dB. A new whitening process for hyperspectral applications with coloured noise is also proposed. Since the proposed method avoids the inversion of large matrices, computational complexity is substantially decreased. In the presence of coloured noise, simulation results show that the proposed whitening method lowers the MSE of unmixing and outperforms the existing whitening methods particularly when the noise correction factors increase. Advisors/Committee Members: Beheshti, Soosan (Thesis advisor), Ryerson University (Degree grantor).

Subjects/Keywords: Electronic noise – Prevention.; Signal processing – Digital techniques; Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Farzam, M. (2011). Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Farzam, Masoud. “Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach.” 2011. Thesis, Ryerson University. Accessed October 14, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Farzam, Masoud. “Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach.” 2011. Web. 14 Oct 2019.

Vancouver:

Farzam M. Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach. [Internet] [Thesis]. Ryerson University; 2011. [cited 2019 Oct 14]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Farzam M. Hyperspectral image analysis using a simultaneous denoising and intrinsic order selection (DIOS) approach. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

20. Ahmad, Zeeshan. Comparative analysis of different image denoising methods in spatial and transform domain.

Degree: 2017, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A6540

► Digital Images are the best source for humans to see, visualize, think, extract information and make conclusions. However during the acquisition of images, noise superimposes… (more)

Subjects/Keywords: Electronic noise – Prevention; Signal processing – Digital techniques; Image processing – Digital techniques

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APA (6^th Edition):

Ahmad, Z. (2017). Comparative analysis of different image denoising methods in spatial and transform domain. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6540

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ahmad, Zeeshan. “Comparative analysis of different image denoising methods in spatial and transform domain.” 2017. Thesis, Ryerson University. Accessed October 14, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A6540.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ahmad, Zeeshan. “Comparative analysis of different image denoising methods in spatial and transform domain.” 2017. Web. 14 Oct 2019.

Vancouver:

Ahmad Z. Comparative analysis of different image denoising methods in spatial and transform domain. [Internet] [Thesis]. Ryerson University; 2017. [cited 2019 Oct 14]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6540.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmad Z. Comparative analysis of different image denoising methods in spatial and transform domain. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6540

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

21. 廖晏羚; Liu, An-ling. An efficient multiview video coding system with application in AVS.

Degree: M. Phil., 2015, University of Hong Kong

URL: Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102 ; http://hdl.handle.net/10722/224653

►

Multiview video coding (MVC) systems have attracted much attention because of their applications in free view point television (FTV), three-dimensional television (3DTV), surveillance systems, etc.… (more)

▼

Multiview video coding (MVC) systems have attracted much attention because of their applications in free view point television (FTV), three-dimensional television (3DTV), surveillance systems, etc. Compared with the traditional 2D media, multiview videos usually involve large data size. It is essential to develop high performance MVC systems with low computational complexity. This thesis aims to develop an efficient multiview video codec based on the Audio Video Coding Standard of China (AVS) and investigate its application to image-based rendering (IBR). Firstly, a new fast motion estimation (ME) algorithm based on the simplified unsymmetrical hexagonal method (UMHexagonS) used in the AVS standard is developed. Different from the conventional method, the proposed approach uses an extended searching area and a square-based search to reduce computation complexity considerably. To obtain real-time implementation, we proposed a macroblock-based parallel structure which utilizes multi-core processing. Such approach can improve the encoding frame rate by approximately 4 times compared to traditional implementations. The proposed method has been tested on an Intel Core i7 3960x six cores 3.3GHz CPU. The real-time encoding speed reaches 25 frames per second (fps) for a 1280×720 high-definition video. Secondly, a multiview video coding algorithm based on AVS which encode three views as a group is developed. By taking advantages of the reduced inter-view dependency among adjacent views, the proposed algorithm can simplify the selective transmission and the decoding of multiview videos. Moreover, a new disparity estimation (DE) algorithm based on an unsymmetrical search window is proposed to further reduce the computational complexity. The developed encoder can achieve real-time encoding for 640×480 3-view videos at more than 26fps on a computer equipped with an Intel Core i7 3960x six cores 3.3GHz CPU. Finally, an image-based rendering and object-based compression system based on the Kinect depth camera and algorithm are developed for indoor applications. The proposed system uses the depth information obtained by the Kinect depth camera together with the texture information to perform IBR. Experimental results illustrate that good performance and usefulness can be achieved by the proposed approach.

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Subjects/Keywords: Video compression - Standards; Image processing - Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

廖晏羚; Liu, A. (2015). An efficient multiview video coding system with application in AVS. (Masters Thesis). University of Hong Kong. Retrieved from Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102 ; http://hdl.handle.net/10722/224653

Chicago Manual of Style (16^th Edition):

廖晏羚; Liu, An-ling. “An efficient multiview video coding system with application in AVS.” 2015. Masters Thesis, University of Hong Kong. Accessed October 14, 2019. Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102 ; http://hdl.handle.net/10722/224653.

MLA Handbook (7^th Edition):

廖晏羚; Liu, An-ling. “An efficient multiview video coding system with application in AVS.” 2015. Web. 14 Oct 2019.

Vancouver:

廖晏羚; Liu A. An efficient multiview video coding system with application in AVS. [Internet] [Masters thesis]. University of Hong Kong; 2015. [cited 2019 Oct 14]. Available from: Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102 ; http://hdl.handle.net/10722/224653.

Council of Science Editors:

廖晏羚; Liu A. An efficient multiview video coding system with application in AVS. [Masters Thesis]. University of Hong Kong; 2015. Available from: Liu, A. [廖晏羚]. (2015). An efficient multiview video coding system with application in AVS. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5731102 ; http://hdl.handle.net/10722/224653

Hong Kong University of Science and Technology

22. Zhu, Siyu CSE. Accurate, scalable and parallel structure from motion.

Degree: 2017, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-991012532269103412 ; http://repository.ust.hk/ir/bitstream/1783.1-88943/1/th_redirect.html

► Structure from motion is a photogrammetric technique for estimating 3D structures from 2D images and large-scale Structure from Motion is still challenging in three aspects,… (more)

▼ Structure from motion is a photogrammetric technique for estimating 3D structures from 2D images and large-scale Structure from Motion is still challenging in three aspects, namely accuracy, scalability and efficiency. The target of this work is to handle highly accurate and consistent large-scale Structure from Motion problems in a parallel and scalable manner. First, we propose a scalable distributed formulation to handle Structure from Motion problems far exceeding the memory of a single computer in parallel. Different from the previous methods which drastically simplify the parameters of Structure from Motion, we propose a camera clustering algorithm to divide a large Structure from Motion problem into smaller sub-problems in terms of camera clusters with overlapping while preserving as many connectivity among cameras and tracks as possible. We next exploit a hybrid formulation using the relative motions from local incremental Structure from Motion into a global motion averaging framework to produce superior accurate and consistent initial camera poses. Our scalable formulation in terms of camera clusters is highly applicable to the whole Structure from Motion pipeline including track generation, local Structure from Motion, 3D point triangulation and bundle adjustment. To achieve scalable distributed motion averaging, we base on the scalable formulation in terms of camera clusters to decouple the full motion averaging problem into several sub-problems with respect to their local coordinate frames encoded by similarity transformations for independent optimization in parallel. Then, we can merge sub-problems globally without caching the whole reconstruction in memory at once. The proposed distributed and robust framework supplements the majority of the state-of-the-art motion averaging approaches with superior improvement in efficiency and robustness. As for large-scale bundle adjustment, eliminating statistical redundancy in multi-view geometry is of great importance to efficient 3D reconstruction. Our approach takes the full set of images with initial calibration and recovered sparse 3D points as inputs, and obtains a subset of views that preserve the final reconstruction accuracy and completeness well. Moreover, global bundle adjustment usually converges to a non-zero residual and produces sub-optimal camera poses for local areas, which leads to loss of details for high-resolution reconstruction. Instead of trying harder to optimize everything globally, we argue that we should live with the non-zero residual and adapt the camera poses to local areas. To this end, we propose a segment-based approach to readjust the camera poses locally and improve the reconstruction for fine geometry details. This significantly reduces severe propagated errors and estimation biases caused by the initial global adjustment. Together these techniques enable the first pipeline able to reconstruct highly accurate and consistent camera poses from more than one million high-resolution images in parallel with the state-of-the-art…

Subjects/Keywords: Image processing; Digital techniques; Photogrammetry; Computer vision

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APA (6^th Edition):

Zhu, S. C. (2017). Accurate, scalable and parallel structure from motion. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012532269103412 ; http://repository.ust.hk/ir/bitstream/1783.1-88943/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhu, Siyu CSE. “Accurate, scalable and parallel structure from motion.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-991012532269103412 ; http://repository.ust.hk/ir/bitstream/1783.1-88943/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhu, Siyu CSE. “Accurate, scalable and parallel structure from motion.” 2017. Web. 14 Oct 2019.

Vancouver:

Zhu SC. Accurate, scalable and parallel structure from motion. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-991012532269103412 ; http://repository.ust.hk/ir/bitstream/1783.1-88943/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu SC. Accurate, scalable and parallel structure from motion. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: https://doi.org/10.14711/thesis-991012532269103412 ; http://repository.ust.hk/ir/bitstream/1783.1-88943/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

23. Xu, Pengfei. Pattern-aware selection and arrangement of graphic elements.

Degree: 2015, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html

► Selection and arrangement of graphic elements are two fundamental tasks in many text and graphic editing scenarios. Traditional interactive techniques such as lasso selection, snapping… (more)

▼ Selection and arrangement of graphic elements are two fundamental tasks in many text and graphic editing scenarios. Traditional interactive techniques such as lasso selection, snapping and arrangement commands are provided by most graphic editors to aid the users in accomplishing these tasks. However, these techniques often ignore the underlying patterns of the elements, requiring the users to perform explicit and tedious operations to achieve the goal of the manipulation. It is expected that the amount of user interaction can be reduced by exploiting the patterns of the elements. Nevertheless, designing effective pattern-aware interaction tools is challenging due to the ambiguities in the patterns presented by the elements and the operations issued by the user. This thesis focuses on developing effective pattern-aware interactive techniques to aid the users in the selection and arrangement of elements. In particular, we propose three interactive techniques which adopt different strategies to resolve the ambiguities that may arise during manipulation. First, we introduce a selection tool called Lazy Selection. It is a scribble-based tool for quick selection of one or more desired shape elements by roughly stroking through the elements. Our algorithm automatically refines the selection and reveals the user’s intention. It first extracts selection candidates from the scribble-covered elements by examining the underlying patterns and then ranks them based on their location and shape with respect to the user-sketched scribble. Such a design makes this tool tolerant to imprecise input systems and applicable to touch systems without suffering from the fat finger problem. Second, we present GACA, a group-aware command-based arrangement tool. Compared with the traditional command-based arrangement tools, it reduces the number of selection operations and command invocations. The key idea is that an issued arrangement command is in fact very informative, instructing the tool how to automatically decompose a 2D layout into multiple 1D groups, each one being compatible with the command. The tool uses a parameter-free, command-driven grouping approach so that users can easily predict our grouping results. We also designed a simple user interface to enable explicit control of grouping and arrangement. Third, we present a framework for automatic global beautification of layouts. To facilitate ambiguity resolution in layout beautification, we include a novel user interface for visualizing and editing inferred relationships. Our interface provides a preview of the beautified layout with inferred constraints, without directly modifying the input layout. In this way, the user can easily keep refining beautification results by interactively repositioning and/or resizing elements in the input layout. In addition, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures.

Subjects/Keywords: Image processing; Digital techniques; Pattern recognition systems

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APA (6^th Edition):

Xu, P. (2015). Pattern-aware selection and arrangement of graphic elements. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, Pengfei. “Pattern-aware selection and arrangement of graphic elements.” 2015. Web. 14 Oct 2019.

Vancouver:

Xu P. Pattern-aware selection and arrangement of graphic elements. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu P. Pattern-aware selection and arrangement of graphic elements. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: https://doi.org/10.14711/thesis-b1450576 ; http://repository.ust.hk/ir/bitstream/1783.1-76054/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

24. Cheng, Cheuk Hong. Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing.

Degree: 2009, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1070065 ; http://repository.ust.hk/ir/bitstream/1783.1-6363/1/th_redirect.html

► In the recent years, the improvement of digital imaging technology is significant. The capture resolution of consumer level digital cameras has grown significantly. This remains… (more)

Subjects/Keywords: Image processing – Digital techniques; Computer graphics; Color

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APA (6^th Edition):

Cheng, C. H. (2009). Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1070065 ; http://repository.ust.hk/ir/bitstream/1783.1-6363/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cheng, Cheuk Hong. “Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1070065 ; http://repository.ust.hk/ir/bitstream/1783.1-6363/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cheng, Cheuk Hong. “Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing.” 2009. Web. 14 Oct 2019.

Vancouver:

Cheng CH. Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1070065 ; http://repository.ust.hk/ir/bitstream/1783.1-6363/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheng CH. Color bit-depth expansion for contour removal and demosaicking of spatial varying exposure array for high dynamic range image capturing. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: https://doi.org/10.14711/thesis-b1070065 ; http://repository.ust.hk/ir/bitstream/1783.1-6363/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

25. Yu, Zhiding. Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation.

Degree: 2012, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1197947 ; http://repository.ust.hk/ir/bitstream/1783.1-7770/1/th_redirect.html

► Image segmentation refers to the process of grouping pixels into spatially continuous regions based on certain similarity measure. One could ﬁnd its considerable applications in… (more)

▼ Image segmentation refers to the process of grouping pixels into spatially continuous regions based on certain similarity measure. One could ﬁnd its considerable applications in computer vision since it plays a key role in bridging low level information to high level semantic information. Segmentation remains one of the fundamental computer vision problems. Depending on whether there is human interaction, image segmentation can be divided into interactive and non-interactive ones. Based on the learning mode, image segmentation can be classiﬁed into supervised and unsupervised ones. In this thesis, we address the problem of non-interactive, unsupervised image segmentation, aiming at grouping perceptually similar pixels or superpixels into regions. It is expected that segmentations can serve as intermediate input for many high level scene understanding tasks, and that better segmentation results potentially lead to more accurate interpretation of objects and scenes. However, the problem remains challenging in the sense that it is very difﬁcult to model and design methods with segmentation performance that matches human level accuracy without any human interaction or strong prior - constraints that are often rare or even unavailable under real circumstances. In addition, ﬁnding a good image partitioning often results in the searching in a very complex or high dimensional solution space. So computational complexity becomes another key issue considering the real implementation of image segmentation algorithms. Regarding these challenges, this research proposes novel models that improve the state of the art unsupervised segmentation performance within the scope of acceptable computational cost, where segmentation performance is subjectively evaluated. The purpose is to generate image partitioning results that subjectively suffer less from both oversegmentation and overmerging, both of which can seriously degrade the performance of subsequent applications. Our research effort mainly focuses on graph theory and mode seeking, on top of which better boundary estimation and clustering models are proposed for image segmentation. We believe graphs often carry important structural information. And we want to utilize this information to guide data clustering and image segmentation. The segmentation accuracy depends largely on both the clustering performance and the designed feature. For clustering, we propose a graph-based contour ﬁnding method and minimum spanning tree (MST) embedded mode seeking. An MST is a connected graph that preserves intrinsic compact structures of a data set. It is able to ﬁnd manifold-like structures or elongated clusters since it shares common features with k-nearest neighbor (k-NN) graph - a graph that has been widely used in ﬁnding manifold structures. Thus the MST embedded mode seeking shows larger ﬂexibility and tolerance on cluster shapes. On the image domain, MST serves as a good spatial smoothness constraint in image domain. The introduction of MST signiﬁcantly helps to boost the performance of…

Subjects/Keywords: Image processing – Digital techniques; Computer graphics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yu, Z. (2012). Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1197947 ; http://repository.ust.hk/ir/bitstream/1783.1-7770/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yu, Zhiding. “Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1197947 ; http://repository.ust.hk/ir/bitstream/1783.1-7770/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yu, Zhiding. “Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation.” 2012. Web. 14 Oct 2019.

Vancouver:

Yu Z. Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1197947 ; http://repository.ust.hk/ir/bitstream/1783.1-7770/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu Z. Graph embedding and arbitrarily shaped clustering for unsupervised image segmentation. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1197947 ; http://repository.ust.hk/ir/bitstream/1783.1-7770/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

26. Fu, Jingjing. Some advanced techniques on image and video coding.

Degree: 2010, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1114791 ; http://repository.ust.hk/ir/bitstream/1783.1-7016/1/th_redirect.html

► Digital images and videos undoubtedly contribute a big trunk in digital multimedia data people are enjoying today. Since the digital representation of raw image and… (more)

▼ Digital images and videos undoubtedly contribute a big trunk in digital multimedia data people are enjoying today. Since the digital representation of raw image and video signals requires a huge capacity, tremendous coding algorithms have been developed to efficiently represent signals for storage and transmission purposes. In this thesis, three advanced techniques for image and video coding are investigated: directional discrete cosine transform (DDCT), spectral recovery for compressed image restoration, and compressive sensing. Among various coding algorithms, the block-based transform coding is widely employed in image and video compression owing to its simplicity, excellent energy compaction in the transform domain, and super compromise between bit-rate and quantization errors. In our DDCT, the directionality (other than vertical and horizontal) of each image block is taken into consideration. Consequently, a new block-based transform framework is proposed, in which the first transform may choose to follow a direction other than the vertical or horizontal one. The coefficients produced by each directional transform are arranged into a column vector so that the second transform is applied to all coefficients that are aligned horizontally. By selecting the best transform mode, each image block is encoded with less bits and/or higher quality. Furthermore, the advantages of the developed DDCT are substantiated by some theoretical analysis on the coding gain and energy packing efficiency. In addition, a novel directional decoding algorithm is developed to enhance the visual quality of the compressed images. Information loss is unavoidable due to the limitation on the transmission bandwidth or storage capacity. Hence, the correlation within signals cannot be re-built accurately to some extent, especially the annoying artifacts introduced in the block-based transform coding schemes. By exploring the cross-domain correlation within the compressed images, we introduce a novel spectral prediction algorithm to restore lossy spectral information caused by compression. The relationship among cross-frequency coefficients is adopted to predict spectral coefficients, and the spectral recovery through the total variation (TV) based regularization is confined by the reliable coefficient evaluation range. Accordingly, remarkable improvement on visual quality can be observed in the experimental results. The recent theory of compressive sensing reveals that a sparse signal can be recovered by randomly taking a small number of measurements. Since the compressive sensing is distinct from the traditional coding algorithms, it is crucial to answer the question whether the compressive sensing can enhance the coding efficiency by random sampling the sources. For the sake of simplicity, we analyze the coding performance of the compressive sensing for binary sparse sources. Two models are applied to describe the random sampling and recovery process: the bipartite graph and the tree structure. Based on the bipartite graph model, we derive…

Subjects/Keywords: Image processing – Digital techniques; Video compression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Fu, J. (2010). Some advanced techniques on image and video coding. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1114791 ; http://repository.ust.hk/ir/bitstream/1783.1-7016/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fu, Jingjing. “Some advanced techniques on image and video coding.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1114791 ; http://repository.ust.hk/ir/bitstream/1783.1-7016/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fu, Jingjing. “Some advanced techniques on image and video coding.” 2010. Web. 14 Oct 2019.

Vancouver:

Fu J. Some advanced techniques on image and video coding. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1114791 ; http://repository.ust.hk/ir/bitstream/1783.1-7016/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fu J. Some advanced techniques on image and video coding. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1114791 ; http://repository.ust.hk/ir/bitstream/1783.1-7016/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

27. Lin, Xuxiang. Automated colorization of video subtitles.

Degree: 2011, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1136742 ; http://repository.ust.hk/ir/bitstream/1783.1-7146/1/th_redirect.html

► Subtitling, or captioning, refers to the process of presenting textual information about a video scene usually at the bottom of the display. This process is… (more)

Subjects/Keywords: Image processing – Digital techniques; Closed captioning

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APA (6^th Edition):

Lin, X. (2011). Automated colorization of video subtitles. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1136742 ; http://repository.ust.hk/ir/bitstream/1783.1-7146/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lin, Xuxiang. “Automated colorization of video subtitles.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed October 14, 2019. https://doi.org/10.14711/thesis-b1136742 ; http://repository.ust.hk/ir/bitstream/1783.1-7146/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lin, Xuxiang. “Automated colorization of video subtitles.” 2011. Web. 14 Oct 2019.

Vancouver:

Lin X. Automated colorization of video subtitles. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Oct 14]. Available from: https://doi.org/10.14711/thesis-b1136742 ; http://repository.ust.hk/ir/bitstream/1783.1-7146/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin X. Automated colorization of video subtitles. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1136742 ; http://repository.ust.hk/ir/bitstream/1783.1-7146/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

28. 潘浩山.; Poon, Ho-shan. Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix.

Degree: M. Phil., 2009, University of Hong Kong

URL: Poon, H. [潘浩山]. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322426 ; http://dx.doi.org/10.5353/th_b4322426 ; http://hdl.handle.net/10722/56797

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Advisors/Committee Members: Hung, YS, Chesi, G.

Subjects/Keywords: Algorithms.; Image processing - Digital techniques.; Matrices.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

潘浩山.; Poon, H. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Masters Thesis). University of Hong Kong. Retrieved from Poon, H. [潘浩山]. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322426 ; http://dx.doi.org/10.5353/th_b4322426 ; http://hdl.handle.net/10722/56797

Chicago Manual of Style (16^th Edition):

潘浩山.; Poon, Ho-shan. “Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix.” 2009. Masters Thesis, University of Hong Kong. Accessed October 14, 2019. Poon, H. [潘浩山]. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322426 ; http://dx.doi.org/10.5353/th_b4322426 ; http://hdl.handle.net/10722/56797.

MLA Handbook (7^th Edition):

潘浩山.; Poon, Ho-shan. “Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix.” 2009. Web. 14 Oct 2019.

Vancouver:

潘浩山.; Poon H. Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. [Internet] [Masters thesis]. University of Hong Kong; 2009. [cited 2019 Oct 14]. Available from: Poon, H. [潘浩山]. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322426 ; http://dx.doi.org/10.5353/th_b4322426 ; http://hdl.handle.net/10722/56797.

Council of Science Editors:

潘浩山.; Poon H. Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. [Masters Thesis]. University of Hong Kong; 2009. Available from: Poon, H. [潘浩山]. (2009). Visual tracking of multiple moving objects in images based on robust estimation of the fundamental matrix. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322426 ; http://dx.doi.org/10.5353/th_b4322426 ; http://hdl.handle.net/10722/56797

University of Hong Kong

29. Tan, Zhigang. A region merging methodology for color and texture image segmentation.

Degree: PhD, 2009, University of Hong Kong

URL: Tan, Z. [譚志剛]. (2009). A region merging methodology for color and texture image segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322414 ; http://dx.doi.org/10.5353/th_b4322414 ; http://hdl.handle.net/10722/56801

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Algorithms.; Image processing - Digital techniques.; Computer vision.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tan, Z. (2009). A region merging methodology for color and texture image segmentation. (Doctoral Dissertation). University of Hong Kong. Retrieved from Tan, Z. [譚志剛]. (2009). A region merging methodology for color and texture image segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322414 ; http://dx.doi.org/10.5353/th_b4322414 ; http://hdl.handle.net/10722/56801

Chicago Manual of Style (16^th Edition):

Tan, Zhigang. “A region merging methodology for color and texture image segmentation.” 2009. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Tan, Z. [譚志剛]. (2009). A region merging methodology for color and texture image segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322414 ; http://dx.doi.org/10.5353/th_b4322414 ; http://hdl.handle.net/10722/56801.

MLA Handbook (7^th Edition):

Tan, Zhigang. “A region merging methodology for color and texture image segmentation.” 2009. Web. 14 Oct 2019.

Vancouver:

Tan Z. A region merging methodology for color and texture image segmentation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2009. [cited 2019 Oct 14]. Available from: Tan, Z. [譚志剛]. (2009). A region merging methodology for color and texture image segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322414 ; http://dx.doi.org/10.5353/th_b4322414 ; http://hdl.handle.net/10722/56801.

Council of Science Editors:

Tan Z. A region merging methodology for color and texture image segmentation. [Doctoral Dissertation]. University of Hong Kong; 2009. Available from: Tan, Z. [譚志剛]. (2009). A region merging methodology for color and texture image segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4322414 ; http://dx.doi.org/10.5353/th_b4322414 ; http://hdl.handle.net/10722/56801

University of Hong Kong

30. Zhang, Shuai. Novel techniques for visual object tracking and depth-aware video processing.

Degree: PhD, 2015, University of Hong Kong

URL: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

► Visual object tracking is frequently employed in applications, such as intelligent video surveillance, human body tracking, and many other related problems. Therefore, it is a… (more)

▼ Visual object tracking is frequently employed in applications, such as intelligent video surveillance, human body tracking, and many other related problems. Therefore, it is a fundamental problem in video processing and computer vision. The general procedure of automatic object tracking consists of object detection, object representation, tracking strategy and model updating. Tracking strategy, in particular, is an important component because it performs prediction and inference of useful object information such as object location, object orientation and object size, from one frame to another. In this dissertation, a new visual object tracking algorithm using a novel Bayesian Kalman filter (BKF) with simplified Gaussian mixture (BKF-SGM) tracking strategy is proposed. The new BKF-SGM employs a GM representation of the state and noise densities and a novel direct density simplifying algorithm for avoiding the exponential complexity growth of conventional Kalman filters using GM. As the GM is simplified directly without resampling using particles, the proposed BKF-SGM considerably reduces the exponential arithmetic complexity and avoids performance degradation due to sampling degeneracy and impoverishment in conventional particle filtering (PF). When coupled with an improved mean shift (MS) algorithm, the original MS tracker is extended under the BKF-SGM framework above to a bank of parallel MS trackers, which offer a more robust tracking performance. The resultant algorithm, which is called the BKF-SGM with improved MS (BKF-SGM-IMS), is inherently parallel in nature and hence can be readily accelerated using Graphics Processing Unit (GPU) to meet the high computational requirement in real-time applications. The proposed BKF-SGM-IMS algorithm can successfully handle complex scenarios with good performance and low arithmetic complexity. Moreover, the performance of both non-training/training-based object recognition algorithms can be improved by using our tracking results as input. As depth information make machine vision one step closer to human vision by combining color and depth information, there is a recent interest in depth-aware video processing and computer vision both in the academic and industrial fields. However, high quality and high resolution depth map acquisition for real world scene is a challenging problem. Conventional depth acquisition algorithms which rely on stereo/multi-view vision (passive method) or depth sensing device (active method) alone are limited by complicated scenes or imperfections of the depth sensing devices. In this dissertation, a new system for indoor high resolution and high quality depth estimation using joint fusion of stereo and depth sensing data is proposed. By modeling the observations using Markov random field (MRF), the fusion problem is formulated as a maximum a posteriori probability (MAP) estimation problem. The reliability and the probability density functions for describing the observations from the two devices are also derived. The MAP problem is solved using a…

Subjects/Keywords: Image processing - Digital techniques; Automatic tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, S. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Doctoral Dissertation). University of Hong Kong. Retrieved from Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

Chicago Manual of Style (16^th Edition):

Zhang, Shuai. “Novel techniques for visual object tracking and depth-aware video processing.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed October 14, 2019. Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087.

MLA Handbook (7^th Edition):

Zhang, Shuai. “Novel techniques for visual object tracking and depth-aware video processing.” 2015. Web. 14 Oct 2019.

Vancouver:

Zhang S. Novel techniques for visual object tracking and depth-aware video processing. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Oct 14]. Available from: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087.

Council of Science Editors:

Zhang S. Novel techniques for visual object tracking and depth-aware video processing. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

Open Access Theses and Dissertations