subject:(Image restoration)

1. Sun, Libin. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.

Degree: PhD, Computer Science, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:674410/

► In our modern digital age, camera-equipped gadgets such as smart-phones and tablet devices let people capture and share increasing amounts of digital image data. However,… (more)

▼ In our modern digital age, camera-equipped gadgets such as smart-phones and tablet devices let people capture and share increasing amounts of digital image data. However, we often find our daily snapshots plagued by various forms undesirable features such as blur, low resolution and sensor noise. Undoing such artifacts is typically ill-posed and involves filling in missing image details. But how can we get more from less? How can we go beyond the limits of what can be unambiguously restored? Fortunately, the vast digital imagery available on the Internet provides a dense sampling of our visual world through time and scale, and ushers in fundamental changes in the way we approach these problems. In this dissertation, we develop data-driven example-based image restoration methods in the context of super-resolution and deblurring. Recent advancements in modern methods have been very successful at restoring salient image structures and edges, but fall short in terms of recovering details in the highest spatial frequency bands. Furthermore, much of these details are beyond the recoverable limits given a single degraded image. Motivated by this observation, this dissertation places special emphasis on exploring methods and representations that are capable of hallucinating and synthesizing novel image details in an image restoration framework. First, we investigate how to remove motion blur from photos due to camera shake. We present patch-based image priors specifically tailored towards modeling image edges and show its superior performance compared to current leading methods in blind deblurring. We further compare generic vs specific image priors for non-blind deblurring, and investigate their ability to insert image details given example images of varying levels of similarity. Second, we examine how big-data can benefit super-resolution systems and show improved ability to hallucinate image details. By moving the image representation from intensity domain to a highly expressive feature space within a Convolutional Neural Network, combined with a sparse image correspondence to better guide synthesis of local image content, we show how convincing image details can be hallucinated far beyond capabilities of existing methods from super-resolution. Advisors/Committee Members: Hays, James (Director), Sudderth, Erik (Reader), Hughes, John (Reader), Wang, Jue (Reader).

Subjects/Keywords: image restoration

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APA (6^th Edition):

Sun, L. (2016). The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674410/

Chicago Manual of Style (16^th Edition):

Sun, Libin. “The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.” 2016. Doctoral Dissertation, Brown University. Accessed March 06, 2021. https://repository.library.brown.edu/studio/item/bdr:674410/.

MLA Handbook (7^th Edition):

Sun, Libin. “The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.” 2016. Web. 06 Mar 2021.

Vancouver:

Sun L. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2021 Mar 06]. Available from: https://repository.library.brown.edu/studio/item/bdr:674410/.

Council of Science Editors:

Sun L. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674410/

Australian National University

2. Hanif, Muhammad. Deconvolution and Sparse Representation Image Restoration .

Degree: 2015, Australian National University

URL: http://hdl.handle.net/1885/104992

► Deconvolution and sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using… (more)

▼ Deconvolution and sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using these two modalities. Image restoration, such as deblurring, dnoising, and in-painting belongs to the class of ill-posed linear inverse problems, which requires a proper regularization for a credible solution. The aim is to develop techniques that are stable, practical and require a minimum amount of prior knowledge. The two main approaches that we focused upon in this thesis are image deconvolution for blurred image restoration and dictionary learning algorithms for sparse image denoising and in-painting. In the first approach, iterative least square and maximum likelihood based deconvolution methods, are derived for image deblurring application. Three novel methods are presented i) a hybrid Fourier-wavelet deblurring (HFW) method based on expectation maximization (EM) approach, ii) sparse non-negative matrix approximation (SNMA), and iii) Kullback-Leibler divergence minimization (KLD). For HFW, the main objective function was split into Fourier domain deconvolution and wavelet domain denoising, to avoid the computational burden of handling blurring matrix in wavelet domain. Further, the wavelet coefficients were modelled using the class of Gaussian scale mixture (GSM) model, which represent the heavy tailed distribution. The SMNA and KLD are designed for a more challenging task of blind image deconvolution (BID), where either no or very little prior information about the original image and blurring operator is provided. In SMNA an explicit blur estimation and strict positive constraint on the observed and original image, are utilized to retrieve the latent original image. The third method is derived using successive minimization of KLD between a model and a desired family of probability distributions. This algorithm can be viewed as cascaded EM in information geometric terms. In the second approach, dictionary learning methods with sparsity constraint on original image, are designed to address the image denoising and in-painting problem. Recently, the sparse representation emerged as a useful regularization in ill-posed linear inverse problems. The main assumption in this direction, is that the original image has a sparse representation over some dictionary. Three novel dictionary learning algorithms are outlined. In the first method, an orthogonal dictionary based on the profile-likelihood estimate is derived with single Eigen decomposition. Most of the dictionary learning algorithms confined the sparsity constraint to the sparse coding stage. In the second method, we look at the impact of enforcing the sparsity constraint also in the dictionary update stage. Within this framework different constraints such as smoothness of dictionary atoms and other can also be enforced t enhance the dictionary strength. In the last method, we looked into the double sparsity constraint, where the strength of explicit and implicit dictionaries is combined for…

Subjects/Keywords: Image Restoration; Image Deconvolution; Sparse Image Processing

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

APA (6^th Edition):

Hanif, M. (2015). Deconvolution and Sparse Representation Image Restoration . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/104992

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):

Hanif, Muhammad. “Deconvolution and Sparse Representation Image Restoration .” 2015. Thesis, Australian National University. Accessed March 06, 2021. http://hdl.handle.net/1885/104992.

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

MLA Handbook (7^th Edition):

Hanif, Muhammad. “Deconvolution and Sparse Representation Image Restoration .” 2015. Web. 06 Mar 2021.

Vancouver:

Hanif M. Deconvolution and Sparse Representation Image Restoration . [Internet] [Thesis]. Australian National University; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1885/104992.

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

Council of Science Editors:

Hanif M. Deconvolution and Sparse Representation Image Restoration . [Thesis]. Australian National University; 2015. Available from: http://hdl.handle.net/1885/104992

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

McMaster University

3. Chi, Zhixiang. IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES.

Degree: MASc, 2018, McMaster University

URL: http://hdl.handle.net/11375/24290

►

Conventional methods for solving image restoration problems are typically built on an image degradation model and on some priors of the latent image. The model… (more)

▼

Conventional methods for solving image restoration problems are typically built on an image degradation model and on some priors of the latent image. The model of the degraded image and the prior knowledge of the latent image are necessary because the restoration is an ill posted inverse problem. However, for some applications, such as those addressed in this thesis, the image degradation process is too complex to model precisely; in addition, mathematical priors, such as low rank and sparsity of the image signal, are often too idealistic for real world images. These difficulties limit the performance of existing image restoration algorithms, but they can be, to certain extent, overcome by the techniques of machine learning, particularly deep convolutional neural networks. Machine learning allows large sample statistics far beyond what is available in a single input image to be exploited. More importantly, the big data can be used to train deep neural networks to learn the complex non-linear mapping between the degraded and original images. This circumvents the difficulty of building an explicit realistic mathematical model when the degradation causes are complex and compounded. In this thesis, we design and implement deep convolutional neural networks (DCNN) for two challenging image restoration problems: reflection removal and joint demosaicking-deblurring. The first problem is one of blind source separation; its DCNN solution requires a large set of paired clean and mixed images for training. As these paired training images are very difficult, if not impossible, to acquire in the real world, we develop a novel technique to synthesize the required training images that satisfactorily approximate the real ones. For the joint demosaicking-deblurring problem, we propose a new multiscale DCNN architecture consisting of a cascade of subnetworks so that the underlying blind deconvolution task can be broken into smaller subproblems and solved more effectively and robustly. In both cases extensive experiments are carried out. Experimental results demonstrate clear advantages of the proposed DCNN methods over existing ones.

Thesis

Master of Applied Science (MASc)

Advisors/Committee Members: Wu, Xiaolin, Electrical and Computer Engineering.

Subjects/Keywords: Image restoration; Deep learning

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

APA (6^th Edition):

Chi, Z. (2018). IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/24290

Chicago Manual of Style (16^th Edition):

Chi, Zhixiang. “IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES.” 2018. Masters Thesis, McMaster University. Accessed March 06, 2021. http://hdl.handle.net/11375/24290.

MLA Handbook (7^th Edition):

Chi, Zhixiang. “IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES.” 2018. Web. 06 Mar 2021.

Vancouver:

Chi Z. IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11375/24290.

Council of Science Editors:

Chi Z. IMAGE RESTORATIONS USING DEEP LEARNING TECHNIQUES. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/24290

California State University – Sacramento

4. Shepherd, Kearsten. Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill.

Degree: MA, Communication Studies, 2012, California State University – Sacramento

URL: http://hdl.handle.net/10211.9/1677

► This thesis looks at the apologia employed by British Petroleum in the response to the Deepwater Horizon oil spill in the Gulf of Mexico in… (more)

Subjects/Keywords: Rhetoric; Genre; Image restoration

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APA (6^th Edition):

Shepherd, K. (2012). Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1677

Chicago Manual of Style (16^th Edition):

Shepherd, Kearsten. “Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 06, 2021. http://hdl.handle.net/10211.9/1677.

MLA Handbook (7^th Edition):

Shepherd, Kearsten. “Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill.” 2012. Web. 06 Mar 2021.

Vancouver:

Shepherd K. Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10211.9/1677.

Council of Science Editors:

Shepherd K. Apologia in the twenty-first century: a case study of British Petroleum's response to the Deepwater Horizon oil spill. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1677

University of New South Wales

5. Halder, Kalyan. High Precision Techniques for Imaging through Turbulence.

Degree: Engineering & Information Technology, 2017, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/57379 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43343/SOURCE02?view=true

► Imaging through a turbulent medium, such as the atmosphere or the wavy surface of water, is highly desired in many scientific and military applications. This… (more)

▼ Imaging through a turbulent medium, such as the atmosphere or the wavy surface of water, is highly desired in many scientific and military applications. This is a very challenging task due to the time-varying shifts and blurs captured in the images. This thesis deals with the geometrical restoration of such images captured as video sequences. These ordinarily undesirable geometrical distortions also act as information compressors and can be exploited to extract further bandwidth from the images to produce high-quality images from their lower resolution counterparts. The research investigations cover both the atmospheric as well as underwater imaging.First, a simple and robust method is reviewed and improved upon to restore warped frames using motion vector fields (shiftmaps) obtained through a motion estimation technique. The centroid of the pixel shiftmaps is then calculated to generate individual restoration shiftmaps for each warped frame. The centroid shiftmap is updated iteratively to take the restored frames closer to their likely ground-truth. Furthermore, the image restoration method is made predictive by the use of a generalized regression neural network (GRNN), where the pixel shiftmaps amongst successive frames are used for training the network to determine the underlying warping functions, which in turn, are used to predict the upcoming warped frame. Moreover, the accurate motionanalysis along with video stabilization method is utilized for reliable segmentation of video frames into stable and moving components and subsequently stabilizing frames, keeping real moving objects unaltered. Motivated by the successful application of GRNN in warp prediction, finally, a new and more efficient target tracking algorithm is proposed that works based on determining the centre and the area of moving objects, using those features for GRNN training, and employing the trained network to estimate the objects’ locations in the next frame. Both the accuracy and the potential of the proposed algorithms have been investigated. The results presented are of both theoretical and practical interest and offer new efficient tools for substantial improvement of infrastructure of machine vision-based systems in general and of intelligent surveillance systems in particular. Advisors/Committee Members: Tahtali, Murat, Engineering & Information Technology, UNSW Canberra, UNSW, Anavatti, Sreenatha, Engineering & Information Technology, UNSW Canberra, UNSW.

Subjects/Keywords: Atmospheric turbulence; Image processing; Image restoration

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APA (6^th Edition):

Halder, K. (2017). High Precision Techniques for Imaging through Turbulence. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57379 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43343/SOURCE02?view=true

Chicago Manual of Style (16^th Edition):

Halder, Kalyan. “High Precision Techniques for Imaging through Turbulence.” 2017. Doctoral Dissertation, University of New South Wales. Accessed March 06, 2021. http://handle.unsw.edu.au/1959.4/57379 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43343/SOURCE02?view=true.

MLA Handbook (7^th Edition):

Halder, Kalyan. “High Precision Techniques for Imaging through Turbulence.” 2017. Web. 06 Mar 2021.

Vancouver:

Halder K. High Precision Techniques for Imaging through Turbulence. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2021 Mar 06]. Available from: http://handle.unsw.edu.au/1959.4/57379 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43343/SOURCE02?view=true.

Council of Science Editors:

Halder K. High Precision Techniques for Imaging through Turbulence. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57379 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43343/SOURCE02?view=true

NSYSU

6. Yao, Yu-ting. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.

Degree: Master, Electro-Optical Engineering, 2012, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101

► This paper presents a set of Image Registration, Image Integration, interpolation and image restoration and other technology, the number of low-resolution images synthesized high-resolution image.… (more)

Subjects/Keywords: image registration; super resolution image; image restoration; interpolation; image integration

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APA (6^th Edition):

Yao, Y. (2012). Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101

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):

Yao, Yu-ting. “Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.” 2012. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101.

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

MLA Handbook (7^th Edition):

Yao, Yu-ting. “Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.” 2012. Web. 06 Mar 2021.

Vancouver:

Yao Y. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101.

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

Council of Science Editors:

Yao Y. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101

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

University of California – San Diego

7. Luo, Enming. Statistical and Adaptive Patch-based Image Denoising.

Degree: Electrical Engineering (Signal and Image Proc), 2016, University of California – San Diego

URL: http://www.escholarship.org/uc/item/76j927j2

► With the explosion in the number of digital images taken every day, people are demanding more accurate and visually pleasing images. However, the captured images… (more)

▼ With the explosion in the number of digital images taken every day, people are demanding more accurate and visually pleasing images. However, the captured images by modern cameras are inevitably degraded by noise. Besides deteriorating image visual quality, noise also degrades the performance of high-level vision tasks such as object recognition and tracking. Therefore, image denoising is a critical preprocessing step. This thesis presents novel contributions to the field of image denoising.Image denoising is a highly ill-posed inverse problem. To alleviate the ill-posedness, an effective prior plays an important role and is a key factor for successful image denoising. With abundance of images available online, we propose to obtain priors from external image databases. In this thesis, we perform statistical analyses and rigorous derivations on how to obtain effective priors by utilizing external databases. For three denoising applications under different external settings, we show how we can explore effective priors and accordingly we present adaptive patch-based image denoising algorithms. In specific, we propose three adaptive algorithms: (1) adaptive non-local means for multiview image denoising; (2) adaptive image denoising by targeted databases; (3) adaptive image denoising by mixture adaption.In (1), we present how to improve the non-local prior by finding more relevant patches in the multiview image denoising setting. We propose a method that uses a robust joint-view distance metric to measure the similarity of patches and derive an adaptive procedure to determine the optimal number of patches for final non-local means denoising. In (2), we propose to switch from generic database to targeted database, i.e., for specific objects to be denoised, only targeted databases with relevant images should be used. We explore both the group sparsity prior and the localized Bayesian prior, and show how a near optimal and adaptive denoising filter can be designed so that the targeted database can be maximally utilized. In (3), we propose an adaptive learning procedure called Expectation-Maximization (EM) adaptation. The adaptive process takes a generic prior learned from a generic database and transfers it to the image of interest to create a specific prior. This adapted prior better captures the distribution of the image of interest and is consistently better than the un-adapted one. For all the three denoising applications, we conduct various denoising experiments. Our proposed adaptive algorithms have some superior denoising performance than some state-of-the-art algorithms.

Subjects/Keywords: Electrical engineering; image denoising; image enhancement; image restoration

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

APA (6^th Edition):

Luo, E. (2016). Statistical and Adaptive Patch-based Image Denoising. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/76j927j2

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):

Luo, Enming. “Statistical and Adaptive Patch-based Image Denoising.” 2016. Thesis, University of California – San Diego. Accessed March 06, 2021. http://www.escholarship.org/uc/item/76j927j2.

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

MLA Handbook (7^th Edition):

Luo, Enming. “Statistical and Adaptive Patch-based Image Denoising.” 2016. Web. 06 Mar 2021.

Vancouver:

Luo E. Statistical and Adaptive Patch-based Image Denoising. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2021 Mar 06]. Available from: http://www.escholarship.org/uc/item/76j927j2.

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

Council of Science Editors:

Luo E. Statistical and Adaptive Patch-based Image Denoising. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/76j927j2

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

Colorado State University

8. Kornse, Zachary. Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains.

Degree: MS(M.S.), Geosciences, 2020, Colorado State University

URL: http://hdl.handle.net/10217/208492

► River restoration has become more of a concern with human influence on natural systems on the rise. Beaver provide a relatively inexpensive and natural opportunity… (more)

▼ River restoration has become more of a concern with human influence on natural systems on the rise. Beaver provide a relatively inexpensive and natural opportunity to restore rivers to a pre-settlement state. Quantitative models can be used to better understand where beaver reintroduction should occur to maximize the odds of a reintroduced beaver population establishing an ideal habitat to thrive in. The Beaver Restoration Assessment Tool (BRAT) is a quantitative model that uses elevation, hydrology, and vegetation inputs to estimate the carrying capacity of beaver. The primary objective of this project is to develop baseline data that can inform river restoration of the Dale Creek watershed on Old Elk Ranch, a northern tributary to the Poudre River in Northern Colorado, although the methods used in this study are broadly applicable to other watersheds. This objective was addressed during two phases of work – the channel and riparian condition assessment during summer 2018 and the assessment of historic and contemporary potential beaver habitat using BRAT and field surveys during summer 2019. Through the utilization of BRAT, survey mapping, and remote sensing, I was further able to determine the best methods for estimating potential beaver population density, as well as the accuracy of the BRAT results relative to the field survey results. Remote sensing provides a unique opportunity to increase the accuracy of BRAT through image classification and analysis. A national vegetation dataset produced by LANDFIRE, with a spatial resolution of 10m, is not as spatially accurate as vegetation datasets derived though supervised classification of NAIP imagery with a 1m spatial resolution. Due to its coarser spatial resolution and being a product of generalized models and field data, LANDFIRE data missed important details in vegetation, such as riparian willows along valley bottoms and variabilities within the floodplain that are crucial for beaver survival. Furthermore, this increase in vegetation accuracy led to increasing the accuracy of BRAT predictions for beaver carrying capacity relative to ground-based mapping of past beaver occupation, allowing for better assessment of where beaver should be reintroduced. Historical BRAT estimates revealed that zero and 1st order channels had the highest carrying capacity of dams historically, accounting for 56% of reaches capable of the highest BRAT classification (15+ dams/km). According to the field survey and historical vs contemporary BRAT estimates, carrying capacity has been greatly reduced post human settlement, primarily in zero and 1st order channel valleys where cattle were introduced. The 2018 condition assessment confirmed that while riparian vegetation was healthiest in higher-order channels, zero and 1st order channels were heavily browsed by cattle, deer, and elk. Based on the distribution of riparian vegetation health, and carrying capacity estimates from BRAT and field surveys, stream restoration would be most effective on 0th and 1st order streams. Advisors/Committee Members: Wohl, Ellen (advisor), McGrath, Daniel (committee member), Morrison, Ryan (committee member).

Subjects/Keywords: beaver restoration assessment tool; image analysis; beaver reintroduction; river restoration; BRAT

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APA (6^th Edition):

Kornse, Z. (2020). Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/208492

Chicago Manual of Style (16^th Edition):

Kornse, Zachary. “Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains.” 2020. Masters Thesis, Colorado State University. Accessed March 06, 2021. http://hdl.handle.net/10217/208492.

MLA Handbook (7^th Edition):

Kornse, Zachary. “Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains.” 2020. Web. 06 Mar 2021.

Vancouver:

Kornse Z. Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10217/208492.

Council of Science Editors:

Kornse Z. Prioritization of beaver (Castor canadensis) reintroduction sites within semi-arid grassland rivers in the Great Plains. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208492

Cornell University

9. Celikors, Elif. BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS.

Degree: M.S., Design and Environmental Analysis, Design and Environmental Analysis, 2020, Cornell University

URL: http://hdl.handle.net/1813/70249

► The emphasis on a gross nature-urban dichotomy and the insufficient examination of the restorative components (RCs) have limited our understanding of the effect of nature… (more)

Subjects/Keywords: attention restoration; image statistics; natural scenes

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APA (6^th Edition):

Celikors, E. (2020). BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/70249

Chicago Manual of Style (16^th Edition):

Celikors, Elif. “BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS.” 2020. Masters Thesis, Cornell University. Accessed March 06, 2021. http://hdl.handle.net/1813/70249.

MLA Handbook (7^th Edition):

Celikors, Elif. “BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS.” 2020. Web. 06 Mar 2021.

Vancouver:

Celikors E. BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS. [Internet] [Masters thesis]. Cornell University; 2020. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1813/70249.

Council of Science Editors:

Celikors E. BEYOND THE NATURE-URBAN DICHOTOMY: UNDERSTANDING THE VISUAL FEATURES OF RESTORATIVE ENVIRONMENTS. [Masters Thesis]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70249

University of Ontario Institute of Technology

10. Falconer, Cory. Image super resolution via non-local normalized graph Laplacian regularization.

Degree: 2019, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/1040

► Given we live in a digital age where images are regularly being viewed, posted, or utilized, spectators of such images on occasion could prefer a… (more)

Subjects/Keywords: Super resolution; Regularization; Image restoration; Graph Laplacian

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

APA (6^th Edition):

Falconer, C. (2019). Image super resolution via non-local normalized graph Laplacian regularization. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1040

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):

Falconer, Cory. “Image super resolution via non-local normalized graph Laplacian regularization.” 2019. Thesis, University of Ontario Institute of Technology. Accessed March 06, 2021. http://hdl.handle.net/10155/1040.

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

MLA Handbook (7^th Edition):

Falconer, Cory. “Image super resolution via non-local normalized graph Laplacian regularization.” 2019. Web. 06 Mar 2021.

Vancouver:

Falconer C. Image super resolution via non-local normalized graph Laplacian regularization. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10155/1040.

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

Council of Science Editors:

Falconer C. Image super resolution via non-local normalized graph Laplacian regularization. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1040

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

11. Kamenický Jan. Effective image restoration algorithms for mobile devices .

Degree: 2011, Czech University of Technology

URL: http://hdl.handle.net/10467/8040

Effective image restoration algorithms for mobile devices; Effective image restoration algorithms for mobile devices Advisors/Committee Members: Flusser Jan (advisor).

Subjects/Keywords: image restoration; super-resolution; multichannel blind deconvolution

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

APA (6^th Edition):

Jan, K. (2011). Effective image restoration algorithms for mobile devices . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/8040

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):

Jan, Kamenický. “Effective image restoration algorithms for mobile devices .” 2011. Thesis, Czech University of Technology. Accessed March 06, 2021. http://hdl.handle.net/10467/8040.

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

MLA Handbook (7^th Edition):

Jan, Kamenický. “Effective image restoration algorithms for mobile devices .” 2011. Web. 06 Mar 2021.

Vancouver:

Jan K. Effective image restoration algorithms for mobile devices . [Internet] [Thesis]. Czech University of Technology; 2011. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10467/8040.

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

Council of Science Editors:

Jan K. Effective image restoration algorithms for mobile devices . [Thesis]. Czech University of Technology; 2011. Available from: http://hdl.handle.net/10467/8040

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

12. Khan, Aftab. Efficient methodologies for single-image blind deconvolution and deblurring.

Degree: PhD, 2014, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015

► The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research community… (more)

▼ The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research community to find an efficient, reliable and most importantly a diversely applicable deblurring scheme. The main challenge arises from little or no prior information about the image or the blurring process as well as the lack of optimal restoration filters to reduce or completely eliminate the blurring effect. Moreover, restoration can be marred by the two common side effects of deblurring; namely the noise amplification and ringing artefacts that arise in the deblurred image due to an unrealizable or imperfect restoration filter. Also, developing a scheme that can process different types of blur, especially for real images, is yet to be realized to a satisfactory level. This research is focused on the development of blind restoration schemes for real life blurred images. The primary objective is to design a BID scheme that is robust in term of Point Spread Function (PSF) estimation, efficient in terms of restoration speed, and effective in terms of restoration quality. A desired scheme will require a deblurring measure to act as a feedback of quality regarding the deblurred image and lead the estimation of the blurring PSF. The blurred image and the estimated PSF can then be passed on to any classical restoration filter for deblurring. The deblurring measures presented in this research include blind non-Gaussianity measures as well as blind Image Quality Measures (IQMs). These measures are blind in the sense that they are able to gauge the quality of an image directly from it without the need to reference a high quality image. The non-Gaussianity measures include spatial and spectral kurtosis measures; while the image quality analysers include the Blind/Reference-less Image Spatial QUality Evaluator (BRISQUE), Natural Image Quality Evaluator (NIQE) index and Reblurring based Peak Signal to Noise Ratio (RPSNR) measure. BRISQUE, NIQE and spectral kurtosis, are introduced for the first time as deblurring measures for BID. RPSNR is a novel full reference yet blind IQM designed and used in this research work. Experiments were conducted on different image datasets and real life blurred images. Optimization of the BID schemes has been achieved using a gradient descent based scheme and a Genetic Algorithm (GA). Quantitative results based on full-reference and non-reference IQMs, present BRISQUE as a robust and computationally efficient blind feedback quality measure. Also, parametric and arbitrarily shaped (non-parametric or generic) PSFs were treated for the blind deconvolution of images. The parametric forms of PSF include uniform Gaussian, motion and out-of-focus blur. The arbitrarily shaped PSFs comprise blurs that have a much more complex blur shape which cannot be easily modelled in the parametric form. A novel scheme for arbitrarily shaped PSF estimation and blind deblurring has been designed, implemented and tested on artificial and real life blurred images.…

Subjects/Keywords: 621.36; Image Processing; Signal Processing; Blind image deblurring; Blind image deconvolution; Image Restoration

10 more images…

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

APA (6^th Edition):

Khan, A. (2014). Efficient methodologies for single-image blind deconvolution and deblurring. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015

Chicago Manual of Style (16^th Edition):

Khan, Aftab. “Efficient methodologies for single-image blind deconvolution and deblurring.” 2014. Doctoral Dissertation, University of Manchester. Accessed March 06, 2021. https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015.

MLA Handbook (7^th Edition):

Khan, Aftab. “Efficient methodologies for single-image blind deconvolution and deblurring.” 2014. Web. 06 Mar 2021.

Vancouver:

Khan A. Efficient methodologies for single-image blind deconvolution and deblurring. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Mar 06]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015.

Council of Science Editors:

Khan A. Efficient methodologies for single-image blind deconvolution and deblurring. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015

University of Manchester

13. Khan, Aftab. Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring.

Degree: 2014, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225818

► The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research community… (more)

▼ The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research community to find an efficient, reliable and most importantly a diversely applicable deblurring scheme. The main challenge arises from little or no prior information about the image or the blurring process as well as the lack of optimal restoration filters to reduce or completely eliminate the blurring effect. Moreover, restoration can be marred by the two common side effects of deblurring; namely the noise amplification and ringing artefacts that arise in the deblurred image due to an unrealizable or imperfect restoration filter. Also, developing a scheme that can process different types of blur, especially for real images, is yet to be realized to a satisfactory level. This research is focused on the development of blind restoration schemes for real life blurred images. The primary objective is to design a BID scheme that is robust in term of Point Spread Function (PSF) estimation, efficient in terms of restoration speed, and effective in terms of restoration quality. A desired scheme will require a deblurring measure to act as a feedback of quality regarding the deblurred image and lead the estimation of the blurring PSF. The blurred image and the estimated PSF can then be passed on to any classical restoration filter for deblurring. The deblurring measures presented in this research include blind non-Gaussianity measures as well as blind Image Quality Measures (IQMs). These measures are blind in the sense that they are able to gauge the quality of an image directly from it without the need to reference a high quality image. The non-Gaussianity measures include spatial and spectral kurtosis measures; while the image quality analysers include the Blind/Reference-less Image Spatial QUality Evaluator (BRISQUE), Natural Image Quality Evaluator (NIQE) index and Reblurring based Peak Signal to Noise Ratio (RPSNR) measure. BRISQUE, NIQE and spectral kurtosis, are introduced for the first time as deblurring measures for BID. RPSNR is a novel full reference yet blind IQM designed and used in this research work. Experiments were conducted on different image datasets and real life blurred images. Optimization of the BID schemes has been achieved using a gradient descent based scheme and a Genetic Algorithm (GA). Quantitative results based on full-reference and non-reference IQMs, present BRISQUE as a robust and computationally efficient blind feedback quality measure. Also, parametric and arbitrarily shaped (non-parametric or generic) PSFs were treated for the blind deconvolution of images. The parametric forms of PSF include uniform Gaussian, motion and out-of-focus blur. The arbitrarily shaped PSFs comprise blurs that have a much more complex blur shape which cannot be easily modelled in the parametric form. A novel scheme for arbitrarily shaped PSF estimation and blind deblurring has been designed, implemented and tested on artificial and real life blurred images.… Advisors/Committee Members: Yin, Hujun.

Subjects/Keywords: Image Processing; Signal Processing; Blind image deblurring; Blind image deconvolution; Image Restoration

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

APA (6^th Edition):

Khan, A. (2014). Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225818

Chicago Manual of Style (16^th Edition):

Khan, Aftab. “Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring.” 2014. Doctoral Dissertation, University of Manchester. Accessed March 06, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225818.

MLA Handbook (7^th Edition):

Khan, Aftab. “Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring.” 2014. Web. 06 Mar 2021.

Vancouver:

Khan A. Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Mar 06]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225818.

Council of Science Editors:

Khan A. Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225818

University of Ontario Institute of Technology

14. Nazeri Naeini, Kamyar. Structure guided image restoration : a deep learning approach.

Degree: 2019, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/1052

► Image restoration aims at recovery of degraded images and estimating the original. Over the past few years, computer vision research has been dominated by deep… (more)

Subjects/Keywords: Deep-learning; Image-restoration; Image-Inpainting; Super-resolution

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

APA (6^th Edition):

Nazeri Naeini, K. (2019). Structure guided image restoration : a deep learning approach. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1052

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):

Nazeri Naeini, Kamyar. “Structure guided image restoration : a deep learning approach.” 2019. Thesis, University of Ontario Institute of Technology. Accessed March 06, 2021. http://hdl.handle.net/10155/1052.

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

MLA Handbook (7^th Edition):

Nazeri Naeini, Kamyar. “Structure guided image restoration : a deep learning approach.” 2019. Web. 06 Mar 2021.

Vancouver:

Nazeri Naeini K. Structure guided image restoration : a deep learning approach. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10155/1052.

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

Council of Science Editors:

Nazeri Naeini K. Structure guided image restoration : a deep learning approach. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1052

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

University of Arizona

15. Ram, Sundaresh. Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .

Degree: 2017, University of Arizona

URL: http://hdl.handle.net/10150/626164

► This work applies sparse representations and nonlinear image processing to two inverse imaging problems. The first problem involves image restoration, where the aim is to… (more)

▼ This work applies sparse representations and nonlinear image processing to two inverse imaging problems. The first problem involves image restoration, where the aim is to reconstruct an unknown high-quality image from a low-quality observed image. Sparse representations of images have drawn a considerable amount of interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over a redundant dictionary leads to efficient algorithms for handling such sources of data. The standard sparse representation, however, does not consider the intrinsic geometric structure present in the data, thereby leading to sub-optimal results. Using the concept that a signal is block sparse in a given basis —i.e., the non-zero elements occur in clusters of varying sizes — we present a novel and efficient algorithm for learning a sparse representation of natural images, called graph regularized block sparse dictionary (GRBSD) learning. We apply the proposed method towards two image restoration applications: 1) single-Image super-resolution, where we propose a local regression model that uses learned dictionaries from the GRBSD algorithm for super-resolving a low-resolution image without any external training images, and 2) image inpainting, where we use GRBSD algorithm to learn a multiscale dictionary to generate visually plausible pixels to fill missing regions in an image. Experimental results validate the performance of the GRBSD learning algorithm for single-image super-resolution and image inpainting applications. The second problem addressed in this work involves image enhancement for detection and segmentation of objects in images. We exploit the concept that even though data from various imaging modalities have high dimensionality, the data is sufficiently well described using low-dimensional geometrical structures. To facilitate the extraction of objects having such structure, we have developed general structure enhancement methods that can be used to detect and segment various curvilinear structures in images across different applications. We use the proposed method to detect and segment objects of different size and shape in three applications: 1) segmentation of lamina cribrosa microstructure in the eye from second-harmonic generation microscopy images, 2) detection and segmentation of primary cilia in confocal microscopy images, and 3) detection and segmentation of vehicles in wide-area aerial imagery. Quantitative and qualitative results show that the proposed methods provide improved detection and segmentation accuracy and computational efficiency compared to other recent algorithms. Advisors/Committee Members: Rodriguez, Jeffrey J (advisor), Rodriguez, Jeffrey J. (committeemember), Tharp, Hal S. (committeemember), Melde, Kathleen L. (committeemember).

Subjects/Keywords: Graph Regularized Block Sparse Representation; Image Enhancement; Image Inpainting; Image Restoration; Super-Resolution; Wavelet Transform

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

APA (6^th Edition):

Ram, S. (2017). Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626164

Chicago Manual of Style (16^th Edition):

Ram, Sundaresh. “Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .” 2017. Doctoral Dissertation, University of Arizona. Accessed March 06, 2021. http://hdl.handle.net/10150/626164.

MLA Handbook (7^th Edition):

Ram, Sundaresh. “Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .” 2017. Web. 06 Mar 2021.

Vancouver:

Ram S. Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10150/626164.

Council of Science Editors:

Ram S. Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626164

University of Wollongong

16. Kitchener, Matthew Andrew. Investigations into image restoration.

Degree: Doctor of Philosophy, 2012, University of Wollongong

URL: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; https://ro.uow.edu.au/theses/3900

► Image restoration methods attempt to remove the noise and blurring that occur during image capture with the aim of producing a more accurate representation… (more)

Subjects/Keywords: image restoration; image deblurring; variational inequality; constrained optimization; bi-level programming; comprehensive sampling; total variation; multi-frame restoration

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

APA (6^th Edition):

Kitchener, M. A. (2012). Investigations into image restoration. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; https://ro.uow.edu.au/theses/3900

Chicago Manual of Style (16^th Edition):

Kitchener, Matthew Andrew. “Investigations into image restoration.” 2012. Doctoral Dissertation, University of Wollongong. Accessed March 06, 2021. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; https://ro.uow.edu.au/theses/3900.

MLA Handbook (7^th Edition):

Kitchener, Matthew Andrew. “Investigations into image restoration.” 2012. Web. 06 Mar 2021.

Vancouver:

Kitchener MA. Investigations into image restoration. [Internet] [Doctoral dissertation]. University of Wollongong; 2012. [cited 2021 Mar 06]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; https://ro.uow.edu.au/theses/3900.

Council of Science Editors:

Kitchener MA. Investigations into image restoration. [Doctoral Dissertation]. University of Wollongong; 2012. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; https://ro.uow.edu.au/theses/3900

University of California – Santa Cruz

17. Kheradmand, Amin. Graph-based Image Restoration.

Degree: Electrical Engineering, 2016, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/2f511492

► Digital photography has experienced great progress during the past decade. A lot of people are recording their moments via digital hand-held cameras. Pictures taken with… (more)

▼ Digital photography has experienced great progress during the past decade. A lot of people are recording their moments via digital hand-held cameras. Pictures taken with digital cameras usually undergo some sort of degradation in the form of noise/blur depending on the camera hardware and environmental conditions in which the photos are taken. This leads to an ever-increasing demand for effective and effcient image enhancement algorithms to achieve high quality output images in digital photography systems. In this dissertation, a new graph-based framework is introduced for different image restoration applications. This framework is based on exploiting the existing self-similarity in images. We introduce a new definition of normalized graph Laplacian matrix for image processing. We use this new definition to develop effective enhancement algorithms for image deblurring, image denoising, and image sharpening.First, we develop a regularization framework for image deblurring by constructing a new graph-based cost function. Minimizing the corresponding cost function yields effective outputs for different blur types including out-of-focus and motion blurs. Our proposed deblurring algorithm based on the new definition of normalized graph Laplacian provides performance and analysis advantages over previous methods. We have shown its effectiveness for several synthetic and real deblurring examples.Second, we develop a new graph-based framework for image denoising. The proposed denoising method exploits the similarity information in images by constructing the similarity matrix which in turn is used to derive the corresponding graph Laplacian. A graph-based objective function with new data fidelity and smoothness terms is constructed and minimized. We also establish the relationship between our proposed regularized framework and two well-known iterative methods for improving the performance of kernel-based denoising methods; namely, diusion and boosting iterations.We compare the performance of the proposed denoising method with that of NLM algorithm [11] and demonstrate that our proposed algorithm is able to enhance over NLM. Furthermore, we present a graph-based analysis framework for multi-layer image decomposition using diffusion and boosting iterations.Third, we propose a new data-adaptive sharpening algorithm based on the notion of difference of smoothing operators. We provide an interpretation of our proposed sharpening method as the image-derived version of difference of Gaussians (DoG) operator broadly used in numerous image processing and computer graphics tasks [66, 121, 122].Finally, we provide a theoretical study on the reported range of the eigenvalues of various definitions of normalized graph Laplacian for different graph structures. This sheds light on the existing ambiguity on the spectral range of such matrices in different applications.

Subjects/Keywords: Electrical engineering; graph Laplacian regularization; Image deblurring; Image denoising; Image restoration; Image sharpening; kernel similarity matrix

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

APA (6^th Edition):

Kheradmand, A. (2016). Graph-based Image Restoration. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/2f511492

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):

Kheradmand, Amin. “Graph-based Image Restoration.” 2016. Thesis, University of California – Santa Cruz. Accessed March 06, 2021. http://www.escholarship.org/uc/item/2f511492.

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

MLA Handbook (7^th Edition):

Kheradmand, Amin. “Graph-based Image Restoration.” 2016. Web. 06 Mar 2021.

Vancouver:

Kheradmand A. Graph-based Image Restoration. [Internet] [Thesis]. University of California – Santa Cruz; 2016. [cited 2021 Mar 06]. Available from: http://www.escholarship.org/uc/item/2f511492.

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

Council of Science Editors:

Kheradmand A. Graph-based Image Restoration. [Thesis]. University of California – Santa Cruz; 2016. Available from: http://www.escholarship.org/uc/item/2f511492

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

Mahatma Gandhi University

18. Nair, Madhu S. Soft computing approaches for image restoration and enhancement;.

Degree: Computer science, 2014, Mahatma Gandhi University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/19619

newline

Bibliography p.85-89, Publications p. 90

Advisors/Committee Members: Raju, G.

Subjects/Keywords: Image enhancement; Image restoration; Soft computing

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

APA (6^th Edition):

Nair, M. S. (2014). Soft computing approaches for image restoration and enhancement;. (Thesis). Mahatma Gandhi University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/19619

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):

Nair, Madhu S. “Soft computing approaches for image restoration and enhancement;.” 2014. Thesis, Mahatma Gandhi University. Accessed March 06, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/19619.

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

MLA Handbook (7^th Edition):

Nair, Madhu S. “Soft computing approaches for image restoration and enhancement;.” 2014. Web. 06 Mar 2021.

Vancouver:

Nair MS. Soft computing approaches for image restoration and enhancement;. [Internet] [Thesis]. Mahatma Gandhi University; 2014. [cited 2021 Mar 06]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19619.

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

Council of Science Editors:

Nair MS. Soft computing approaches for image restoration and enhancement;. [Thesis]. Mahatma Gandhi University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19619

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

19. Uma S. Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;.

Degree: enhanced image restoration techniques using neural networks and fuzzy logic, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/26253

►

The field of image restoration has quite a long history that began in newlinethe 1950s with the scientists involvement in the space program These newlineprograms… (more)

Subjects/Keywords: image restoration techniques; information and communication engineering; neural networks

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APA (6^th Edition):

S, U. (2014). Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26253

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):

S, Uma. “Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;.” 2014. Thesis, Anna University. Accessed March 06, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/26253.

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

MLA Handbook (7^th Edition):

S, Uma. “Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;.” 2014. Web. 06 Mar 2021.

Vancouver:

S U. Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 06]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26253.

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

Council of Science Editors:

S U. Certain investigations on enhanced image restoration techniques using neural networks and fuzzy logic;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26253

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

20. Ahlin, Hanna. Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation.

Degree: Business and Economic Studies, 2016, University of Gävle

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21643

► Syfte: Syftet med studien är att öka förståelsen för hur kriskommunikation vid en förtroendekris används och hur förtroendeingivande kriskommunikationen uppfattas av allmänheten, med utgångspunkt… (more)

▼ Syfte: Syftet med studien är att öka förståelsen för hur kriskommunikation vid en förtroendekris används och hur förtroendeingivande kriskommunikationen uppfattas av allmänheten, med utgångspunkt från Image restoration theory. Metod: Studiens metoder består av en kombination av en kvalitativ innehållsanalys och en kvantitativ enkätstudie. Resultat & Slutsats: Det som kan synas i resultaten av innehållsanalysen är att kriskommunikationen vid en förtroendekris innefattar strategierna “korrigerande åtgärd”, “bakomliggande orsaker”, “goda avsikter”, “erkännande av fel”, “stöttande”, “minimera”, “fördel” och “enkel förnekelse”. De strategier som inte användes vid en förtroendekris var “skylla ifrån sig”, “olycka”, “differentiering”, “attackera den anklagande parten”, “provokation” och “kompensera”. Intressenternas uppfattning beror dels på målgrupp, användning av strategierna och mediernas inverkan. Mest förtroendeingivande ansågs “erkännande av fel”, “korrigerande åtgärd” och “kompensation”. Minst förtroendeingivande ansågs “enkel förnekelse”, “olycka”, “anklaga den attackerande parten” och “skylla ifrån sig”. Förberedande åtgärder har också upptäckts vara väldigt viktigt vid en förtroendekris. Förslag på fortsatt forskning: Komplettera nuvarande studie med kvalitativa intervjuer med intressenter; Utföra ytterligare en fallstudie av Kommunal med fokus på det efterarbete och förberedande åtgärder som tillämpas för att undvika att hamna i samma situation igen; Komplettera nuvarande studie med en ostrukturerad innehållsanalys för att utläsa eventuella uttalanden från Kommunal som inte faller inom ramen för Image restoration theory. Uppsatsens bidrag: Studien ger organisationer en bättre helhetsbild av hur de ska kommunicera med allmänheten vid en förtroendekris, på allmänhetens villkor. Studien bidrar till att presentera ett heltäckande verktyg som kan vägleda dem att använda kriskommunikationen på ett sätt som dels minskar hotet mot organisationens rykte och dels bygger förtroendekapital hos intressenterna i ett tidigt skede.

Subjects/Keywords: förtroendekris; krishantering; kriskommunikation; förtroendeingivande; allmänheten; Image restoration theory

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APA (6^th Edition):

Ahlin, H. (2016). Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21643

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):

Ahlin, Hanna. “Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation.” 2016. Thesis, University of Gävle. Accessed March 06, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21643.

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

MLA Handbook (7^th Edition):

Ahlin, Hanna. “Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation.” 2016. Web. 06 Mar 2021.

Vancouver:

Ahlin H. Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation. [Internet] [Thesis]. University of Gävle; 2016. [cited 2021 Mar 06]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21643.

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

Council of Science Editors:

Ahlin H. Uppfattningen av krishanteringen vid en förtroendekris : En fallstudie av fackförbundet Kommunals kriskommunikation. [Thesis]. University of Gävle; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-21643

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

21. ZHANG JIE. Name card image enhancement and restoration for text recognition.

Degree: 2004, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/14207

Subjects/Keywords: image enhancement restoration motion deblur

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APA (6^th Edition):

JIE, Z. (2004). Name card image enhancement and restoration for text recognition. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14207

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):

JIE, ZHANG. “Name card image enhancement and restoration for text recognition.” 2004. Thesis, National University of Singapore. Accessed March 06, 2021. http://scholarbank.nus.edu.sg/handle/10635/14207.

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

MLA Handbook (7^th Edition):

JIE, ZHANG. “Name card image enhancement and restoration for text recognition.” 2004. Web. 06 Mar 2021.

Vancouver:

JIE Z. Name card image enhancement and restoration for text recognition. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2021 Mar 06]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14207.

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

Council of Science Editors:

JIE Z. Name card image enhancement and restoration for text recognition. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/14207

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

University of Toronto

22. Tang, Huixuan. Modeling and Analysis of Optical Blur for Everyday Photography.

Degree: PhD, 2018, University of Toronto

URL: http://hdl.handle.net/1807/89662

► Optical blur obscures image detail due to the camera's optics. The blur appearance depends on the scene's depth, wavelength, as well as the camera. The… (more)

▼ Optical blur obscures image detail due to the camera's optics. The blur appearance depends on the scene's depth, wavelength, as well as the camera. The inference of such information – optical calibration, image deblurring, and depth estimation – is of great interest to computer vision. Existing approaches make impractical assumptions about the camera and the scene, and are therefore restricted to lab settings. In this thesis, we propose novel optical blur models towards solving the above inference problems in everyday settings. First, we propose a practical model for lenses with monochromatic optical aberrations, assuming the aberrations can be fully described by Seidel aberrations. Although the model produces realistic 2D blur kernels of complicated appearance, it has very few parameters and thus can be estimated using very limited data. We show specifically that just three blur kernels contain enough information to estimate the lens parameters up to an aperture-dependent scale factor. Second, we study image deblurring for RGB-Infrared imaging. This problem is especially challenging since RGB-Infrared cameras suffer from inevitable chromatic aberration, channel crosstalk, and pixel multiplexing due to the color-filter-array. The coupling of the distortions are critical to deblurring quality but is non-trivial to invert efficiently. We propose a practical image formation model that captures all three distortions while enables fast restoration. Third, we develop an approach to two-frame Depth from Defocus (DFD) in everyday settings. The main challenge here is that the inter-frame motion needs to be estimated in addition to depth from just two images. We propose conditions to control the camera focus to guarantee near-optimal DFD estimation and a method to estimate depth and the motion jointly in local 9x9 patches. This allows us to capture sparse depth map even in non-rigid scenes. Fourth, we propose a method to fuse local DFD results into dense depth and flow maps. The noise, sparsity and ambiguities inherent in DFD makes this problem particularly difficult. We introduce a splined-based prior to enable fusion over great image distances and irregular shaped regions, and to allow explicit reasoning about figure-ground relationships. Our final results exhibits high quality results with crisp boundaries. Advisors/Committee Members: Kutulakos, Kiriakos N., Computer Science.

Subjects/Keywords: aberration; calibration; depth from defocus; image restoration; optical blur; 0984

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APA (6^th Edition):

Tang, H. (2018). Modeling and Analysis of Optical Blur for Everyday Photography. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/89662

Chicago Manual of Style (16^th Edition):

Tang, Huixuan. “Modeling and Analysis of Optical Blur for Everyday Photography.” 2018. Doctoral Dissertation, University of Toronto. Accessed March 06, 2021. http://hdl.handle.net/1807/89662.

MLA Handbook (7^th Edition):

Tang, Huixuan. “Modeling and Analysis of Optical Blur for Everyday Photography.” 2018. Web. 06 Mar 2021.

Vancouver:

Tang H. Modeling and Analysis of Optical Blur for Everyday Photography. [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1807/89662.

Council of Science Editors:

Tang H. Modeling and Analysis of Optical Blur for Everyday Photography. [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/89662

University of Georgia

23. Bhattacharya, Archan. Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/23789

► Here three different problems are addressed in Statistics and its applications. The first chapter addresses a statistical estimation problem in controlled branching processes, then a… (more)

▼ Here three different problems are addressed in Statistics and its applications. The first chapter addresses a statistical estimation problem in controlled branching processes, then a Bayesian test is developed for testing zero-inflation in count and it ends with an application of Bayesian techniques in Bio-medical imaging. Controlled branching processes (CBP) with a random control function provide a useful way to model generation sizes in population dynamics studies, where control on the growth of the population size is necessary at each generation. Motivated by the work of Wei and Winnicki (1990), we develop a weighted conditional least squares estimator of the offspring mean of the CBP and derive the asymptotic limit distribution of the estimator when the process is subcritical, critical and supercritical, respectively. The results obtained here extend those of Wei and Winnicki (1990) for branching processes with immigration and provide a unified limit theory of estimation. A zero-inflated power series distribution is a mixture of a power series distribution and a degenerate distribution at zero, with a mixing probability p for the degenerate distribution. This distribution is useful for modeling count data that may have extra zeros. One question is whether the mixture model can be reduced to the power series portion, corresponding to p = 0, or whether there are so many zeros in the data that zero inflation relative to the pure power series distribution must be included in the model i.e., p ≥ 0. The problem is difficult partially because p = 0 is a boundary point. Here, we present a Bayesian test for this problem. We compare our Bayesian solution to two standard frequentist testing procedures. The next topic addresses two clinically challenging problems in the domain of virtual mandibular surgery, namely, (a) detection of minor/hairline fractures and (b) generation of target pattern (reconstructed mandible) with accompanied prognosis of fracture healing. Identification of hairline fractures in input X-ray or Computer Tomography (CT) images is very difficult, especially, in the presence of noise.We propose aMarkov Random Field (MRF)-Maximum A Posteriori (MAP) probability based two-phase approach using the principles of Bayesian image restoration to solve both the aforementioned problems.

Subjects/Keywords: Branching Process; Mixture Model; Computer Tomography; Bayesian Image Restoration; MRF; MAP

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APA (6^th Edition):

Bhattacharya, A. (2014). Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23789

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):

Bhattacharya, Archan. “Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction.” 2014. Thesis, University of Georgia. Accessed March 06, 2021. http://hdl.handle.net/10724/23789.

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

MLA Handbook (7^th Edition):

Bhattacharya, Archan. “Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction.” 2014. Web. 06 Mar 2021.

Vancouver:

Bhattacharya A. Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10724/23789.

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

Council of Science Editors:

Bhattacharya A. Inference for controlled branching process, Bayesian inference for zero-inflated count data and Bayesian techniques for hairline fracture detection and reconstruction. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23789

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

University of Wisconsin – Milwaukee

24. Gu, Yingying. Bayesian Methods and Machine Learning for Processing Text and Image Data.

Degree: PhD, Engineering, 2017, University of Wisconsin – Milwaukee

URL: https://dc.uwm.edu/etd/1633

► Classification/clustering is an important class of unstructured data processing problems. The classification (supervised, semi-supervised and unsupervised) aims to discover the clusters and group the… (more)

▼ Classification/clustering is an important class of unstructured data processing problems. The classification (supervised, semi-supervised and unsupervised) aims to discover the clusters and group the similar data into categories for information organization and knowledge discovery. My work focuses on using the Bayesian methods and machine learning techniques to classify the free-text and image data, and address how to overcome the limitations of the traditional methods. The Bayesian approach provides a way to allow using more variations(numerical or categorical), and estimate the probabilities instead of explicit rules, which will benefit in the ambiguous cases. The MAP(maximum a posterior) estimation is used to deal with the local maximum problems which the ML(maximum likelihood) method gives inaccurate estimates. The EM(expectation-maximization) algorithm can be applied with MAP estimation for the incomplete/missing data problems. Our proposed framework can be used in both supervised and unsupervised classification. For natural language processing(NLP), we applied the machine learning techniques for sentence/text classification. For 3D CT image segmentation, MAP EM clustering approach is proposed to auto-detect the number of objects in the 3D CT luggage image, and the prior knowledge and constraints in MAP estimation are used to avoid/improve the local maximum problems. The algorithm can automatically determine the number of classes and find the optimal parameters for each class. As a result, it can automatically detect the number of objects and produce better segmentation for each object in the image. For segmented object recognition, we applied machine learning techniques to classify each object into targets or non-targets. We have achieved the good results with 90% PD(probability of detection) and 6% PFA(probability of false alarm). For image restoration, in X-ray imaging, scatter can produce noise, artifacts, and decreased contrast. In practice, hardware such as anti-scatter grid is often used to reduce scatter. However, the remaining scatter can still be significant and additional software-based correction is desirable. Furthermore, good software solutions can potentially reduce the amount of needed anti-scatter hardware, thereby reducing cost. In this work, the scatter correction is formulated as a Bayesian MAP (maximum a posteriori) problem with a non-local prior, which leads to better textural detail preservation in scatter reduction. The efficacy of our algorithm is demonstrated through experimental and simulation results. Advisors/Committee Members: Jun Zhang.

Subjects/Keywords: Bayesian Method; Image Classification; Image Restoration; Image Segmentation; Machine Learning; Natural Language Processing; Computer Sciences; Electrical and Electronics

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

APA (6^th Edition):

Gu, Y. (2017). Bayesian Methods and Machine Learning for Processing Text and Image Data. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1633

Chicago Manual of Style (16^th Edition):

Gu, Yingying. “Bayesian Methods and Machine Learning for Processing Text and Image Data.” 2017. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed March 06, 2021. https://dc.uwm.edu/etd/1633.

MLA Handbook (7^th Edition):

Gu, Yingying. “Bayesian Methods and Machine Learning for Processing Text and Image Data.” 2017. Web. 06 Mar 2021.

Vancouver:

Gu Y. Bayesian Methods and Machine Learning for Processing Text and Image Data. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2017. [cited 2021 Mar 06]. Available from: https://dc.uwm.edu/etd/1633.

Council of Science Editors:

Gu Y. Bayesian Methods and Machine Learning for Processing Text and Image Data. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1633

Universitat Pompeu Fabra

25. Facciolo Furlan, Gabriele. Irregularly sampled image resortation and interpolation.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2011, Universitat Pompeu Fabra

URL: http://hdl.handle.net/10803/22714

► La generación de modelos urbanos de elevación a partir de imágenes de satélite mediante técnicas de reconstrucción estereoscópica presenta varios retos debido a sus requisitos… (more)

Subjects/Keywords: Irregular sampling; Image restoration; Remote sensing; Geodesic active contours; Image segmentation; Digital Elevation Model; nterpolation; Image inpainting; 535

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APA (6^th Edition):

Facciolo Furlan, G. (2011). Irregularly sampled image resortation and interpolation. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/22714

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):

Facciolo Furlan, Gabriele. “Irregularly sampled image resortation and interpolation.” 2011. Thesis, Universitat Pompeu Fabra. Accessed March 06, 2021. http://hdl.handle.net/10803/22714.

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

MLA Handbook (7^th Edition):

Facciolo Furlan, Gabriele. “Irregularly sampled image resortation and interpolation.” 2011. Web. 06 Mar 2021.

Vancouver:

Facciolo Furlan G. Irregularly sampled image resortation and interpolation. [Internet] [Thesis]. Universitat Pompeu Fabra; 2011. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10803/22714.

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

Council of Science Editors:

Facciolo Furlan G. Irregularly sampled image resortation and interpolation. [Thesis]. Universitat Pompeu Fabra; 2011. Available from: http://hdl.handle.net/10803/22714

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

University of Southern California

26. Choi, Na Ri. A comparative study of non-blind and blind deconvolution of ultrasound images.

Degree: MA, Applied Mathematics, 2014, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/404236/rec/120

► The issue of restoration of ultrasound images through blind deconvolution has been one of the chief problems in medical ultrasound imaging. This paper focuses on… (more)

Subjects/Keywords: ultrasound; blind image deconvolution; digital image processing; image restoration; Wiener filter; Lucy Richardson filter; maximum likelihood

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

APA (6^th Edition):

Choi, N. R. (2014). A comparative study of non-blind and blind deconvolution of ultrasound images. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/404236/rec/120

Chicago Manual of Style (16^th Edition):

Choi, Na Ri. “A comparative study of non-blind and blind deconvolution of ultrasound images.” 2014. Masters Thesis, University of Southern California. Accessed March 06, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/404236/rec/120.

MLA Handbook (7^th Edition):

Choi, Na Ri. “A comparative study of non-blind and blind deconvolution of ultrasound images.” 2014. Web. 06 Mar 2021.

Vancouver:

Choi NR. A comparative study of non-blind and blind deconvolution of ultrasound images. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2021 Mar 06]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/404236/rec/120.

Council of Science Editors:

Choi NR. A comparative study of non-blind and blind deconvolution of ultrasound images. [Masters Thesis]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/404236/rec/120

27. Fan, Wei. Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration.

Degree: Docteur es, Signal, image, paroles, télécoms, 2015, Université Grenoble Alpes (ComUE); Beihang university (Pékin)

URL: http://www.theses.fr/2015GREAT035

►

La criminalistique en images numériques se développe comme un outil puissant pour l'authentification d'image, en travaillant de manière passive et aveugle sans l'aide d'informations d'authentification… (more)

▼

La criminalistique en images numériques se développe comme un outil puissant pour l'authentification d'image, en travaillant de manière passive et aveugle sans l'aide d'informations d'authentification pré-intégrées dans l'image (contrairement au tatouage fragile d'image). En parallèle, l'anti-criminalistique se propose d'attaquer les algorithmes de criminalistique afin de maintenir une saine émulation susceptible d'aider à leur amélioration. En images numériques, l'anti-criminalistique partage quelques similitudes avec la restauration d'image : dans les deux cas, l'on souhaite approcher au mieux les informations perdues pendant un processus de dégradation d'image. Cependant, l'anti-criminalistique se doit de remplir au mieux un objectif supplémentaire, extit{i.e.} : être non détectable par la criminalistique actuelle. Dans cette thèse, nous proposons une nouvelle piste de recherche pour la criminalistique en images numériques, en tirant profit des concepts/méthodes avancés de la restauration d'image mais en intégrant des stratégies/termes spécifiquement anti-criminalistiques. Dans ce contexte, cette thèse apporte des contributions sur quatre aspects concernant, en criminalistique JPEG, (i) l'introduction du déblocage basé sur la variation totale pour contrer les méthodes de criminalistique JPEG et (ii) l'amélioration apportée par l'adjonction d'un lissage perceptuel de l'histogramme DCT, (iii) l'utilisation d'un modèle d'image sophistiqué et d'un lissage non paramétrique de l'histogramme DCT visant l'amélioration de la qualité de l'image falsifiée; et, en criminalistique du filtrage médian, (iv) l'introduction d'une méthode fondée sur la déconvolution variationnelle. Les résultats expérimentaux démontrent l'efficacité des méthodes anti-criminalistiques proposées, avec notamment une meilleure indétectabilité face aux détecteurs criminalistiques actuels ainsi qu'une meilleure qualité visuelle de l'image falsifiée par rapport aux méthodes anti-criminalistiques de l'état de l'art.

Image forensics enjoys its increasing popularity as a powerful image authentication tool, working in a blind passive way without the aid of any a priori embedded information compared to fragile image watermarking. On its opponent side, image anti-forensics attacks forensic algorithms for the future development of more trustworthy forensics. When image coding or processing is involved, we notice that image anti-forensics to some extent shares a similar goal with image restoration. Both of them aim to recover the information lost during the image degradation, yet image anti-forensics has one additional indispensable forensic undetectability requirement. In this thesis, we form a new research line for image anti-forensics, by leveraging on advanced concepts/methods from image restoration meanwhile with integrations of anti-forensic strategies/terms. Under this context, this thesis contributes on the following four aspects for JPEG compression and median filtering anti-forensics: (i) JPEG anti-forensics using Total Variation based deblocking,…

Advisors/Committee Members: Brossier, Jean-Marc (thesis director), Xiong, Zhang (thesis director), Cayre, François (thesis director), Wang, Kai (thesis director).

Subjects/Keywords: Anti criminalistique; Image numérique; Restauration d’image; Compression JPEG; Filtrage médian; Image anti forensics; Image restoration; JPEG compression; Median filtering; 620

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

APA (6^th Edition):

Fan, W. (2015). Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration. (Doctoral Dissertation). Université Grenoble Alpes (ComUE); Beihang university (Pékin). Retrieved from http://www.theses.fr/2015GREAT035

Chicago Manual of Style (16^th Edition):

Fan, Wei. “Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration.” 2015. Doctoral Dissertation, Université Grenoble Alpes (ComUE); Beihang university (Pékin). Accessed March 06, 2021. http://www.theses.fr/2015GREAT035.

MLA Handbook (7^th Edition):

Fan, Wei. “Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration.” 2015. Web. 06 Mar 2021.

Vancouver:

Fan W. Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); Beihang university (Pékin); 2015. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2015GREAT035.

Council of Science Editors:

Fan W. Vers l’anti-criminalistique en images numériques via la restauration d’images : Towards digital image anti-forensics via image restoration. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); Beihang university (Pékin); 2015. Available from: http://www.theses.fr/2015GREAT035

Indian Institute of Science

28. Chandra Mohan, S. Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction.

Degree: MSc Engg, Faculty of Engineering, 2015, Indian Institute of Science

URL: http://etd.iisc.ac.in/handle/2005/2490

► High quality image /video has become an integral part in our day-to-day life ranging from many areas of science, engineering and medical diagnosis. All these… (more)

▼ High quality image /video has become an integral part in our day-to-day life ranging from many areas of science, engineering and medical diagnosis. All these imaging applications call for high resolution, properly focused and crisp images. However, in real situations obtaining such a high quality image is expensive, and in some cases it is not practical. In imaging systems such as digital camera, blur and noise degrade the image quality. The recorded images look blurred, noisy and unable to resolve the finer details of the scene, which are clearly notable under zoomed conditions. The post processing techniques based on computational methods extract the hidden information and thereby improve the quality of the captured images. The study in this thesis focuses on deconvolution and eventually blind de-convolution problem of a single frame captured at low light imaging conditions arising from digital photography/surveillance imaging applications. Our intention is to restore a sharp image from its blurred and noisy observation, when the blur is completely known/unknown and such inverse problems are ill-posed/twice ill-posed. This thesis consists of two major parts. The first part addresses deconvolution/blind deconvolution problem using Bayesian approach with fuzzy logic based gradient potential as a prior functional. In comparison with analog cameras, artifacts are visible in digital cameras when the images are enlarged and there is a demand to enhance the resolution. The increased resolution can be in spatial, temporal or even in both the dimensions. Super resolution reconstruction methods reconstruct images/video containing spectral information beyond that is available in the captured low resolution images. The second part of the thesis addresses resolution enhancement of observed monochromatic/color images using multiple frames of the same scene. This reconstruction problem is formulated in Bayesian domain with an aspiration of reducing blur, noise, aliasing and increasing the spatial resolution. The image is modeled as Markov random field and a fuzzy logic filter based gradient potential is used to differentiate between edge and noisy pixels. Suitable priors are adaptively applied to obtain artifact free/reduced images. In this work, all our approaches are experimentally validated using standard test images. The Matlab based programming tools are used for carrying out the validation. The performance of the approaches are qualitatively compared with results of recently proposed methods. Our results turn out to be visually pleasing and quantitatively competitive. Advisors/Committee Members: Rajan, K (advisor).

Subjects/Keywords: Image Processing; Image Restoration; Image Reconstruction; Photographic Images; Poisson Blurred Images - Deconvolution; Super Resolution Image Reconstruction; Color Images; Monochrome Images; Bayesain Image Restoration; Bayesian Image Reconstruction; Bayesian Domain; Fuzzy Median Filter; Poisson Images; Applied Optics

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

APA (6^th Edition):

Chandra Mohan, S. (2015). Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2490

Chicago Manual of Style (16^th Edition):

Chandra Mohan, S. “Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction.” 2015. Masters Thesis, Indian Institute of Science. Accessed March 06, 2021. http://etd.iisc.ac.in/handle/2005/2490.

MLA Handbook (7^th Edition):

Chandra Mohan, S. “Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction.” 2015. Web. 06 Mar 2021.

Vancouver:

Chandra Mohan S. Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction. [Internet] [Masters thesis]. Indian Institute of Science; 2015. [cited 2021 Mar 06]. Available from: http://etd.iisc.ac.in/handle/2005/2490.

Council of Science Editors:

Chandra Mohan S. Studies On Bayesian Approaches To Image Restoration And Super Resolution Image Reconstruction. [Masters Thesis]. Indian Institute of Science; 2015. Available from: http://etd.iisc.ac.in/handle/2005/2490

Universiteit Utrecht

29. Lest, T. van de. “Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls.

Degree: 2010, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/45387

► Product recalls (ook wel terughaal- of terugroepacties) hebben pragmatisch gezien tegenstrijdige belangen. Enerzijds dienen ze de consumenten te waarschuwen voor defecte producten, terwijl ze anderzijds… (more)

▼ Product recalls (ook wel terughaal- of terugroepacties) hebben pragmatisch gezien tegenstrijdige belangen. Enerzijds dienen ze de consumenten te waarschuwen voor defecte producten, terwijl ze anderzijds de consumenten proberen te overtuigen om de producten in de toekomst te blijven kopen. Om te voorkomen dat de consumenten de producten in de toekomst niet meer aan zullen schaffen worden er imagoreparerende strategieën toegepast. Echter, in voorgaande onderzoeken wordt geconcludeerd dat deze strategieën averechts werken wanneer de consumenten doorhebben dat ze toegepast worden. Strategieën waarbij dit expliciet naar voren kwam waren Shifting the Blame (iemand anders de schuld geven) en Minimization (het voorval minimaliseren). In deze scriptie is onderzocht of met behulp van Attribuut Framing (het anders beschrijven van de negatieve gebeurtenis zonder dat de logische betekenis ervan verandert) de schade aan het imago op een subtiele wijze verkleind kan worden. De uitkomst van het onderzoek is tot stand gekomen aan de hand van 200 respondenten, verdeeld over acht versies. Deze acht versies varieerden in merk van het product, beschrijving van framing (in percentages of kansen) en uiteraard framing zelf (positief of negatief). Elke respondent kreeg één van de acht product recall advertenties te lezen waarna 27 stellingen gegeven werden waar men het mee eens of oneens kon zijn. De uitkomst is dat een voorval als minder ernstig wordt ervaren wanneer het positief geframed (omschreven) is. Dit geldt voor zowel de omschrijving in percentages als in kansen. Ook in het geval van intentie is men meer geneigd tot herhaalaankopen wanneer het voorval positief geframed is. Net als bij ernst is het hierbij niet van belang of de frames beschreven zijn in kansen of percentages. Dit is niet het geval voor de waardering van het imago. Hierbij is er geen verschil tussen beide frames wanneer het omschreven is in kansen. Wel is er een verschil gemeten bij de omschrijving in percentages. Bij die omschrijving wordt de producent aantrekkelijker, deskundiger, klantgerichter en betrouwbaarder gevonden wanneer het voorval positief geframed is. De conclusie van dit onderzoek is dan ook dat wanneer er een product teruggeroepen moet worden het verstandig is om het voorval concreet (met behulp van percentages) positief te framen. Advisors/Committee Members: Janssen, D.M.L..

Subjects/Keywords: Letteren; product recall; attribuut framing; attribute framing; framing; minimization; image restoration strategies

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

APA (6^th Edition):

Lest, T. v. d. (2010). “Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/45387

Chicago Manual of Style (16^th Edition):

Lest, T van de. ““Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls.” 2010. Masters Thesis, Universiteit Utrecht. Accessed March 06, 2021. http://dspace.library.uu.nl:8080/handle/1874/45387.

MLA Handbook (7^th Edition):

Lest, T van de. ““Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls.” 2010. Web. 06 Mar 2021.

Vancouver:

Lest Tvd. “Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls. [Internet] [Masters thesis]. Universiteit Utrecht; 2010. [cited 2021 Mar 06]. Available from: http://dspace.library.uu.nl:8080/handle/1874/45387.

Council of Science Editors:

Lest Tvd. “Dit product heeft waarschijnlijk geen fatale bijwerkingen” - Een experimenteel onderzoek naar de toepassing van attribuut framing in product recalls. [Masters Thesis]. Universiteit Utrecht; 2010. Available from: http://dspace.library.uu.nl:8080/handle/1874/45387

Ryerson University

30. Buckley, Ryan. Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach.

Degree: 2012, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1512

► The material-turn in photographic studies reveals that photographs cannot be correctly understood without direct interpretation of their physicality; however, institutions with photograph collections are increasingly… (more)

Subjects/Keywords: Photographs – Conservation and restoration; Image processing – Digital techniques; Digital preservation; Chusseau-Flaviens; Charles

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

APA (6^th Edition):

Buckley, R. (2012). Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1512

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):

Buckley, Ryan. “Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach.” 2012. Thesis, Ryerson University. Accessed March 06, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A1512.

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

MLA Handbook (7^th Edition):

Buckley, Ryan. “Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach.” 2012. Web. 06 Mar 2021.

Vancouver:

Buckley R. Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach. [Internet] [Thesis]. Ryerson University; 2012. [cited 2021 Mar 06]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1512.

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

Council of Science Editors:

Buckley R. Providing Enhanced Digital Access to a Collection of Material Photographs: a Considered Approach. [Thesis]. Ryerson University; 2012. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1512

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

Open Access Theses and Dissertations