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You searched for subject:(Image enhancement). Showing records 1 – 30 of 212 total matches.

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University of Saskatchewan

1. Imtiaz, Mohammad 1987-. Color Image Enhancement Techniques for Endoscopic images.

Degree: 2014, University of Saskatchewan

 Modern endoscopes play an important role in diagnosing various gastrointestinal (GI) tract related diseases. Although clinical findings of modern endoscopic imaging techniques are encouraging, there… (more)

Subjects/Keywords: Endoscopic image enhancement; Color image enhancement; Gray image enhancement; Color reproduction; Wireless Capsule Endoscopy; Endoscopy

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

APA (6th Edition):

Imtiaz, M. 1. (2014). Color Image Enhancement Techniques for Endoscopic images. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12657

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

Chicago Manual of Style (16th Edition):

Imtiaz, Mohammad 1987-. “Color Image Enhancement Techniques for Endoscopic images.” 2014. Thesis, University of Saskatchewan. Accessed March 30, 2020. http://hdl.handle.net/10388/12657.

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

MLA Handbook (7th Edition):

Imtiaz, Mohammad 1987-. “Color Image Enhancement Techniques for Endoscopic images.” 2014. Web. 30 Mar 2020.

Vancouver:

Imtiaz M1. Color Image Enhancement Techniques for Endoscopic images. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10388/12657.

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

Council of Science Editors:

Imtiaz M1. Color Image Enhancement Techniques for Endoscopic images. [Thesis]. University of Saskatchewan; 2014. Available from: http://hdl.handle.net/10388/12657

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

2. Sumathi A. Digital filter design using evolvable Hardware chip for image Enhancement;.

Degree: Digital filter design using evolvable Hardware chip for image Enhancement, 2014, Anna University

Image enhancement is an important image preprocessing technique newlineand it allows an encoded image to be reconstructed progressively in newlineterms of fidelity detail or resolution… (more)

Subjects/Keywords: Image enhancement; Relevant processing

Page 1

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APA (6th Edition):

A, S. (2014). Digital filter design using evolvable Hardware chip for image Enhancement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29246

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

Chicago Manual of Style (16th Edition):

A, Sumathi. “Digital filter design using evolvable Hardware chip for image Enhancement;.” 2014. Thesis, Anna University. Accessed March 30, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/29246.

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

MLA Handbook (7th Edition):

A, Sumathi. “Digital filter design using evolvable Hardware chip for image Enhancement;.” 2014. Web. 30 Mar 2020.

Vancouver:

A S. Digital filter design using evolvable Hardware chip for image Enhancement;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Mar 30]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29246.

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

Council of Science Editors:

A S. Digital filter design using evolvable Hardware chip for image Enhancement;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29246

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


University of Southern California

3. Choudhury, Anustup Kumar Atanu. Automatic image and video enhancement with application to visually impaired people.

Degree: PhD, Computer Science, 2012, University of Southern California

 Images/videos may have poor visual quality due to the relatively low dynamic range of capture/display devices as compared to the human visual system or poor… (more)

Subjects/Keywords: color contrast enhancement; human validation; image enhancement; sharpness enhancement; video enhancement; visually impaired people

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APA (6th Edition):

Choudhury, A. K. A. (2012). Automatic image and video enhancement with application to visually impaired people. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/59770/rec/998

Chicago Manual of Style (16th Edition):

Choudhury, Anustup Kumar Atanu. “Automatic image and video enhancement with application to visually impaired people.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 30, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/59770/rec/998.

MLA Handbook (7th Edition):

Choudhury, Anustup Kumar Atanu. “Automatic image and video enhancement with application to visually impaired people.” 2012. Web. 30 Mar 2020.

Vancouver:

Choudhury AKA. Automatic image and video enhancement with application to visually impaired people. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Mar 30]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/59770/rec/998.

Council of Science Editors:

Choudhury AKA. Automatic image and video enhancement with application to visually impaired people. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/59770/rec/998


University of Illinois – Urbana-Champaign

4. Singh, Abhishek. Learning to super-resolve images using self-similarities.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 The single image super-resolution problem entails estimating a high-resolution version of a low-resolution image. Recent studies have shown that high resolution versions of the patches… (more)

Subjects/Keywords: Self-Similarity; Image Enhancement; Image Super-Resolution

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APA (6th Edition):

Singh, A. (2015). Learning to super-resolve images using self-similarities. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78325

Chicago Manual of Style (16th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 30, 2020. http://hdl.handle.net/2142/78325.

MLA Handbook (7th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Web. 30 Mar 2020.

Vancouver:

Singh A. Learning to super-resolve images using self-similarities. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2142/78325.

Council of Science Editors:

Singh A. Learning to super-resolve images using self-similarities. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78325


University of Ontario Institute of Technology

5. Darvish, Arman. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.

Degree: 2011, University of Ontario Institute of Technology

 Applications of imaging and image processing become a part of our daily life and find their crucial way in real-world areas. Accordingly, the corresponding techniques… (more)

Subjects/Keywords: Image processing; Segmentation; Optimization; Image enhancement

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APA (6th Edition):

Darvish, A. (2011). User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/209

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

Chicago Manual of Style (16th Edition):

Darvish, Arman. “User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.” 2011. Thesis, University of Ontario Institute of Technology. Accessed March 30, 2020. http://hdl.handle.net/10155/209.

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

MLA Handbook (7th Edition):

Darvish, Arman. “User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.” 2011. Web. 30 Mar 2020.

Vancouver:

Darvish A. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. [Internet] [Thesis]. University of Ontario Institute of Technology; 2011. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10155/209.

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

Council of Science Editors:

Darvish A. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. [Thesis]. University of Ontario Institute of Technology; 2011. Available from: http://hdl.handle.net/10155/209

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


University of California – Santa Cruz

6. Talebi, Hossein. Global Image Filtering.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

 The state-of-the-art digital photography has made great progress over the past decades;however, imaging still suffers from distortions such as noise and blur. The result is… (more)

Subjects/Keywords: Electrical engineering; Computer engineering; Image Denoising; Image Editing; Image Enhancement

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APA (6th Edition):

Talebi, H. (2015). Global Image Filtering. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/2hs75579

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

Chicago Manual of Style (16th Edition):

Talebi, Hossein. “Global Image Filtering.” 2015. Thesis, University of California – Santa Cruz. Accessed March 30, 2020. http://www.escholarship.org/uc/item/2hs75579.

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

MLA Handbook (7th Edition):

Talebi, Hossein. “Global Image Filtering.” 2015. Web. 30 Mar 2020.

Vancouver:

Talebi H. Global Image Filtering. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2020 Mar 30]. Available from: http://www.escholarship.org/uc/item/2hs75579.

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

Council of Science Editors:

Talebi H. Global Image Filtering. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/2hs75579

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

 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)

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

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APA (6th 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 (16th Edition):

Luo, Enming. “Statistical and Adaptive Patch-based Image Denoising.” 2016. Thesis, University of California – San Diego. Accessed March 30, 2020. 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 (7th Edition):

Luo, Enming. “Statistical and Adaptive Patch-based Image Denoising.” 2016. Web. 30 Mar 2020.

Vancouver:

Luo E. Statistical and Adaptive Patch-based Image Denoising. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2020 Mar 30]. 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

8. Li, Yujie. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

 Since the 1960s, autonomous underwater vehicles (AUVs) and unmanned underwater vehicles (UUVs) have been used for deep-sea exploration. Sonar sensors also have been extensively used… (more)

Subjects/Keywords: Under Imaging; Image Enhancement; Image Segmentation; Image Dehazing

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APA (6th Edition):

Li, Y. (2017). Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/5597

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

Chicago Manual of Style (16th Edition):

Li, Yujie. “Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed March 30, 2020. http://hdl.handle.net/10228/5597.

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

MLA Handbook (7th Edition):

Li, Yujie. “Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.” 2017. Web. 30 Mar 2020.

Vancouver:

Li Y. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10228/5597.

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

Council of Science Editors:

Li Y. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/5597

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


Texas A&M University

9. Zubair, Juwairia. Image enhancement for improving visibility and feature recognition.

Degree: 2008, Texas A&M University

 Researchers analyze images in areas such as geology, bat cardiovascular systems and art studies to verify their observations. Some images are hard to study as… (more)

Subjects/Keywords: image enhancement; user study; bat lab

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APA (6th Edition):

Zubair, J. (2008). Image enhancement for improving visibility and feature recognition. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/86013

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

Chicago Manual of Style (16th Edition):

Zubair, Juwairia. “Image enhancement for improving visibility and feature recognition.” 2008. Thesis, Texas A&M University. Accessed March 30, 2020. http://hdl.handle.net/1969.1/86013.

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

MLA Handbook (7th Edition):

Zubair, Juwairia. “Image enhancement for improving visibility and feature recognition.” 2008. Web. 30 Mar 2020.

Vancouver:

Zubair J. Image enhancement for improving visibility and feature recognition. [Internet] [Thesis]. Texas A&M University; 2008. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/1969.1/86013.

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

Council of Science Editors:

Zubair J. Image enhancement for improving visibility and feature recognition. [Thesis]. Texas A&M University; 2008. Available from: http://hdl.handle.net/1969.1/86013

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


Deakin University

10. Nelson, Kyle. Super-resolution of 3-dimensional scenes.

Degree: 2013, Deakin University

 Super-resolution is an image enhancement method that increases the resolution of images and video. Previously this technique could only be applied to 2D scenes. The… (more)

Subjects/Keywords: super-resolution; 3-dimensional scenes; image enhancement

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APA (6th Edition):

Nelson, K. (2013). Super-resolution of 3-dimensional scenes. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30066167

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

Chicago Manual of Style (16th Edition):

Nelson, Kyle. “Super-resolution of 3-dimensional scenes.” 2013. Thesis, Deakin University. Accessed March 30, 2020. http://hdl.handle.net/10536/DRO/DU:30066167.

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

MLA Handbook (7th Edition):

Nelson, Kyle. “Super-resolution of 3-dimensional scenes.” 2013. Web. 30 Mar 2020.

Vancouver:

Nelson K. Super-resolution of 3-dimensional scenes. [Internet] [Thesis]. Deakin University; 2013. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10536/DRO/DU:30066167.

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

Council of Science Editors:

Nelson K. Super-resolution of 3-dimensional scenes. [Thesis]. Deakin University; 2013. Available from: http://hdl.handle.net/10536/DRO/DU:30066167

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


University of Ontario Institute of Technology

11. Shahbazpanahi, Shaho. Learning image enhancement and object localization using evolutionary algorithms.

Degree: 2014, University of Ontario Institute of Technology

 Imaging and image processing have been used in variety of applications, such as medical, astronomy, forensic, and industry. Numerous techniques have been proposed to solve… (more)

Subjects/Keywords: Hybrid GP-DE; Learning image enhancement

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APA (6th Edition):

Shahbazpanahi, S. (2014). Learning image enhancement and object localization using evolutionary algorithms. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/424

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

Chicago Manual of Style (16th Edition):

Shahbazpanahi, Shaho. “Learning image enhancement and object localization using evolutionary algorithms.” 2014. Thesis, University of Ontario Institute of Technology. Accessed March 30, 2020. http://hdl.handle.net/10155/424.

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

MLA Handbook (7th Edition):

Shahbazpanahi, Shaho. “Learning image enhancement and object localization using evolutionary algorithms.” 2014. Web. 30 Mar 2020.

Vancouver:

Shahbazpanahi S. Learning image enhancement and object localization using evolutionary algorithms. [Internet] [Thesis]. University of Ontario Institute of Technology; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10155/424.

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

Council of Science Editors:

Shahbazpanahi S. Learning image enhancement and object localization using evolutionary algorithms. [Thesis]. University of Ontario Institute of Technology; 2014. Available from: http://hdl.handle.net/10155/424

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


Coventry University

12. Iqbal, K. Image detection and retrieval for biometric security from an image enhancement perspective.

Degree: PhD, 2011, Coventry University

 Security methods based on biometrics have been gaining importance increasingly in the last few years due to recent advances in biometrics technology and its reliability… (more)

Subjects/Keywords: 621.36; Security methods, Surveillance methods, Biometric systems, Image enhancement, Image retrieval

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

APA (6th Edition):

Iqbal, K. (2011). Image detection and retrieval for biometric security from an image enhancement perspective. (Doctoral Dissertation). Coventry University. Retrieved from http://curve.coventry.ac.uk/open/items/ed5b98d3-84e6-4070-89cb-7ede2f0e9c0b/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.628932

Chicago Manual of Style (16th Edition):

Iqbal, K. “Image detection and retrieval for biometric security from an image enhancement perspective.” 2011. Doctoral Dissertation, Coventry University. Accessed March 30, 2020. http://curve.coventry.ac.uk/open/items/ed5b98d3-84e6-4070-89cb-7ede2f0e9c0b/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.628932.

MLA Handbook (7th Edition):

Iqbal, K. “Image detection and retrieval for biometric security from an image enhancement perspective.” 2011. Web. 30 Mar 2020.

Vancouver:

Iqbal K. Image detection and retrieval for biometric security from an image enhancement perspective. [Internet] [Doctoral dissertation]. Coventry University; 2011. [cited 2020 Mar 30]. Available from: http://curve.coventry.ac.uk/open/items/ed5b98d3-84e6-4070-89cb-7ede2f0e9c0b/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.628932.

Council of Science Editors:

Iqbal K. Image detection and retrieval for biometric security from an image enhancement perspective. [Doctoral Dissertation]. Coventry University; 2011. Available from: http://curve.coventry.ac.uk/open/items/ed5b98d3-84e6-4070-89cb-7ede2f0e9c0b/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.628932


University of Southern California

13. Ramachandra, Chaithanya Amai. Learning contour statistics from natural images.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 Vision is one of our most important senses, and accordingly, a large fraction of our cerebral cortex is devoted to visual processing.One of the key… (more)

Subjects/Keywords: edge detection; natural image statistics; contour extraction; Bayesian inference; image enhancement

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APA (6th Edition):

Ramachandra, C. A. (2012). Learning contour statistics from natural images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777

Chicago Manual of Style (16th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 30, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777.

MLA Handbook (7th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Web. 30 Mar 2020.

Vancouver:

Ramachandra CA. Learning contour statistics from natural images. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Mar 30]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777.

Council of Science Editors:

Ramachandra CA. Learning contour statistics from natural images. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777


University of Manchester

14. Mortazavi, Halleh. Mitigation of contrast loss in underwater images.

Degree: PhD, 2010, University of Manchester

 The quality of an underwater image is degraded due to the effects of light scattering in water, which are resolution loss and contrast loss. Contrast… (more)

Subjects/Keywords: 005.3; Underwater Image; Optical back-scatter; Image Enhancement; Contrast Loss

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APA (6th Edition):

Mortazavi, H. (2010). Mitigation of contrast loss in underwater images. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/mitigation-of-contrast-loss-in-underwater-images(c469036e-66b1-48c9-9c8d-671061629ad8).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526994

Chicago Manual of Style (16th Edition):

Mortazavi, Halleh. “Mitigation of contrast loss in underwater images.” 2010. Doctoral Dissertation, University of Manchester. Accessed March 30, 2020. https://www.research.manchester.ac.uk/portal/en/theses/mitigation-of-contrast-loss-in-underwater-images(c469036e-66b1-48c9-9c8d-671061629ad8).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526994.

MLA Handbook (7th Edition):

Mortazavi, Halleh. “Mitigation of contrast loss in underwater images.” 2010. Web. 30 Mar 2020.

Vancouver:

Mortazavi H. Mitigation of contrast loss in underwater images. [Internet] [Doctoral dissertation]. University of Manchester; 2010. [cited 2020 Mar 30]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/mitigation-of-contrast-loss-in-underwater-images(c469036e-66b1-48c9-9c8d-671061629ad8).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526994.

Council of Science Editors:

Mortazavi H. Mitigation of contrast loss in underwater images. [Doctoral Dissertation]. University of Manchester; 2010. Available from: https://www.research.manchester.ac.uk/portal/en/theses/mitigation-of-contrast-loss-in-underwater-images(c469036e-66b1-48c9-9c8d-671061629ad8).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526994


University of Manchester

15. Mortazavi, Halleh. Mitigation of Contrast Loss in Underwater Images.

Degree: 2010, University of Manchester

 The quality of an underwater image is degraded due to the effects of light scattering in water, which are resolution loss and contrast loss. Contrast… (more)

Subjects/Keywords: Underwater Image; Optical back-scatter; Image Enhancement; Contrast Loss

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

APA (6th Edition):

Mortazavi, H. (2010). Mitigation of Contrast Loss in Underwater Images. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:96348

Chicago Manual of Style (16th Edition):

Mortazavi, Halleh. “Mitigation of Contrast Loss in Underwater Images.” 2010. Doctoral Dissertation, University of Manchester. Accessed March 30, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:96348.

MLA Handbook (7th Edition):

Mortazavi, Halleh. “Mitigation of Contrast Loss in Underwater Images.” 2010. Web. 30 Mar 2020.

Vancouver:

Mortazavi H. Mitigation of Contrast Loss in Underwater Images. [Internet] [Doctoral dissertation]. University of Manchester; 2010. [cited 2020 Mar 30]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:96348.

Council of Science Editors:

Mortazavi H. Mitigation of Contrast Loss in Underwater Images. [Doctoral Dissertation]. University of Manchester; 2010. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:96348


Universidade Nova

16. Costa, Marco António Bernardino Raimundo. Calibration, selection and mosaicing of SMART-1 AMIE images.

Degree: 2013, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Small Missions for Advanced Research in Technology (SMART-1), represented European Space Agency… (more)

Subjects/Keywords: Space exploration; Lunar mapping; Moon atlas; Calibration; Image mosaicing; Image enhancement

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

APA (6th Edition):

Costa, M. A. B. R. (2013). Calibration, selection and mosaicing of SMART-1 AMIE images. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10802

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

Chicago Manual of Style (16th Edition):

Costa, Marco António Bernardino Raimundo. “Calibration, selection and mosaicing of SMART-1 AMIE images.” 2013. Thesis, Universidade Nova. Accessed March 30, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10802.

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

MLA Handbook (7th Edition):

Costa, Marco António Bernardino Raimundo. “Calibration, selection and mosaicing of SMART-1 AMIE images.” 2013. Web. 30 Mar 2020.

Vancouver:

Costa MABR. Calibration, selection and mosaicing of SMART-1 AMIE images. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2020 Mar 30]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10802.

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

Council of Science Editors:

Costa MABR. Calibration, selection and mosaicing of SMART-1 AMIE images. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10802

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


University of Debrecen

17. Megyesi, Zoltán. HDR képalkotási módszerek analízise és módosítások ajánlása .

Degree: DE – TEK – Informatikai Kar, 2012, University of Debrecen

 A klasszikus értelemben vett fényképezés nem más, mint ahogyan a magyar nyelv is kiválóan megfogalmazza: a környezetünkben érzékelhető fényintenzitások leképezése valamilyen adathordozóra. Ez a leképezés… (more)

Subjects/Keywords: HDR; High Dynamic Range; Image processing; Image Enhancement

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

APA (6th Edition):

Megyesi, Z. (2012). HDR képalkotási módszerek analízise és módosítások ajánlása . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/130019

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

Chicago Manual of Style (16th Edition):

Megyesi, Zoltán. “HDR képalkotási módszerek analízise és módosítások ajánlása .” 2012. Thesis, University of Debrecen. Accessed March 30, 2020. http://hdl.handle.net/2437/130019.

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

MLA Handbook (7th Edition):

Megyesi, Zoltán. “HDR képalkotási módszerek analízise és módosítások ajánlása .” 2012. Web. 30 Mar 2020.

Vancouver:

Megyesi Z. HDR képalkotási módszerek analízise és módosítások ajánlása . [Internet] [Thesis]. University of Debrecen; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2437/130019.

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

Council of Science Editors:

Megyesi Z. HDR képalkotási módszerek analízise és módosítások ajánlása . [Thesis]. University of Debrecen; 2012. Available from: http://hdl.handle.net/2437/130019

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


Princeton University

18. Liu, Yiming. Internet-Data-Driven Image Creation and Enhancement .

Degree: PhD, 2016, Princeton University

 Traditional systems for image creation and enhancement are completely reliant on user input, either to generate content directly or to evaluate and tune algorithms. The… (more)

Subjects/Keywords: crowd-sourcing; data-driven; image creation; image enhancement

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APA (6th Edition):

Liu, Y. (2016). Internet-Data-Driven Image Creation and Enhancement . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01wp988n22n

Chicago Manual of Style (16th Edition):

Liu, Yiming. “Internet-Data-Driven Image Creation and Enhancement .” 2016. Doctoral Dissertation, Princeton University. Accessed March 30, 2020. http://arks.princeton.edu/ark:/88435/dsp01wp988n22n.

MLA Handbook (7th Edition):

Liu, Yiming. “Internet-Data-Driven Image Creation and Enhancement .” 2016. Web. 30 Mar 2020.

Vancouver:

Liu Y. Internet-Data-Driven Image Creation and Enhancement . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Mar 30]. Available from: http://arks.princeton.edu/ark:/88435/dsp01wp988n22n.

Council of Science Editors:

Liu Y. Internet-Data-Driven Image Creation and Enhancement . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01wp988n22n

19. Ünaldı, Numan. Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images.

Degree: PhD, Electrical/Computer Engineering, 2010, Old Dominion University

Image enhancement techniques for visibility improvement of color digital images based on wavelet transform domain are investigated in this dissertation research. In this research,… (more)

Subjects/Keywords: Image enhancement; Visibility improvement; Wavelet domain enhancement; Interpolation.; Computer Engineering; Electrical and Computer Engineering

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

APA (6th Edition):

Ünaldı, N. (2010). Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781124294490 ; https://digitalcommons.odu.edu/ece_etds/194

Chicago Manual of Style (16th Edition):

Ünaldı, Numan. “Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images.” 2010. Doctoral Dissertation, Old Dominion University. Accessed March 30, 2020. 9781124294490 ; https://digitalcommons.odu.edu/ece_etds/194.

MLA Handbook (7th Edition):

Ünaldı, Numan. “Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images.” 2010. Web. 30 Mar 2020.

Vancouver:

Ünaldı N. Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images. [Internet] [Doctoral dissertation]. Old Dominion University; 2010. [cited 2020 Mar 30]. Available from: 9781124294490 ; https://digitalcommons.odu.edu/ece_etds/194.

Council of Science Editors:

Ünaldı N. Wavelet-Based Enhancement Technique for Visibility Improvement of Digital Images. [Doctoral Dissertation]. Old Dominion University; 2010. Available from: 9781124294490 ; https://digitalcommons.odu.edu/ece_etds/194

20. Jaya, V.L. Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement.

Degree: 2015, Cochin University of Science and Technology

 Digital Image Processing is a rapidly evolving eld with growing applications in Science and Engineering. It involves changing the nature of an image in order… (more)

Subjects/Keywords: Digital Image Processing; image enhancement; Machine Vision Applications; Image Transforms; Discrete Fourier Transform

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

APA (6th Edition):

Jaya, V. L. (2015). Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5100

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

Chicago Manual of Style (16th Edition):

Jaya, V L. “Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement.” 2015. Thesis, Cochin University of Science and Technology. Accessed March 30, 2020. http://dyuthi.cusat.ac.in/purl/5100.

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

MLA Handbook (7th Edition):

Jaya, V L. “Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement.” 2015. Web. 30 Mar 2020.

Vancouver:

Jaya VL. Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement. [Internet] [Thesis]. Cochin University of Science and Technology; 2015. [cited 2020 Mar 30]. Available from: http://dyuthi.cusat.ac.in/purl/5100.

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

Council of Science Editors:

Jaya VL. Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement. [Thesis]. Cochin University of Science and Technology; 2015. Available from: http://dyuthi.cusat.ac.in/purl/5100

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


NSYSU

21. Kuo, Chia-ting. Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 In recent years, the topic of single image dehazing has received a lot of attention, and many enhancing algorithms have been proposed to efficiently alleviate… (more)

Subjects/Keywords: Image Dehazing; Underwater Image; Multi-exposure Fusion; Image Enhancement; Color Cast; Dark Channel Prior

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

APA (6th Edition):

Kuo, C. (2017). Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-121822

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

Chicago Manual of Style (16th Edition):

Kuo, Chia-ting. “Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion.” 2017. Thesis, NSYSU. Accessed March 30, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-121822.

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

MLA Handbook (7th Edition):

Kuo, Chia-ting. “Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion.” 2017. Web. 30 Mar 2020.

Vancouver:

Kuo C. Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Mar 30]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-121822.

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

Council of Science Editors:

Kuo C. Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-121822

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


University of Arizona

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

Degree: 2017, University of Arizona

 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)

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 (6th 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 (16th Edition):

Ram, Sundaresh. “Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .” 2017. Doctoral Dissertation, University of Arizona. Accessed March 30, 2020. http://hdl.handle.net/10150/626164.

MLA Handbook (7th Edition):

Ram, Sundaresh. “Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .” 2017. Web. 30 Mar 2020.

Vancouver:

Ram S. Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2020 Mar 30]. 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

23. Τσάκωνας, Ιωάννης. Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση.

Degree: 2009, University of Patras

Στη παρούσα διπλωματική εργασία έχοντας σα βάση το γεγονός ότι η μαστογραφία αποτελεί την καλύτερη τεχνική έγκαιρης ανίχνευσης του καρκίνου του μαστού και ότι το… (more)

Subjects/Keywords: Ενίσχυση εικόνας; Μαστογραφία; 618.190 757 2; Image enhancement; Mammography

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APA (6th Edition):

Τσάκωνας, . (2009). Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/2408

Chicago Manual of Style (16th Edition):

Τσάκωνας, Ιωάννης. “Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση.” 2009. Masters Thesis, University of Patras. Accessed March 30, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/2408.

MLA Handbook (7th Edition):

Τσάκωνας, Ιωάννης. “Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση.” 2009. Web. 30 Mar 2020.

Vancouver:

Τσάκωνας . Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση. [Internet] [Masters thesis]. University of Patras; 2009. [cited 2020 Mar 30]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2408.

Council of Science Editors:

Τσάκωνας . Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση. [Masters Thesis]. University of Patras; 2009. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2408


Punjabi University

24. Amandeep Kaur. Development of algorithms for automatic landmark detection for cephalometric system; -.

Degree: Computer Science, 2012, Punjabi University

The diagnostic value of cephalometric analysis depends on the accurate and reproducible identification of clearly defined landmarks on cephalometric radiographs. Manual landmark detection is a… (more)

Subjects/Keywords: Computer Science; Automatic Landmark Detection; cephalometric system; Image Enhancement; Edge Detection

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

APA (6th Edition):

Kaur, A. (2012). Development of algorithms for automatic landmark detection for cephalometric system; -. (Thesis). Punjabi University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13589

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

Chicago Manual of Style (16th Edition):

Kaur, Amandeep. “Development of algorithms for automatic landmark detection for cephalometric system; -.” 2012. Thesis, Punjabi University. Accessed March 30, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/13589.

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

MLA Handbook (7th Edition):

Kaur, Amandeep. “Development of algorithms for automatic landmark detection for cephalometric system; -.” 2012. Web. 30 Mar 2020.

Vancouver:

Kaur A. Development of algorithms for automatic landmark detection for cephalometric system; -. [Internet] [Thesis]. Punjabi University; 2012. [cited 2020 Mar 30]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13589.

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

Council of Science Editors:

Kaur A. Development of algorithms for automatic landmark detection for cephalometric system; -. [Thesis]. Punjabi University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13589

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


Rochester Institute of Technology

25. Gmuender, Christopher. On black-and-white paper image-stability enhancement.

Degree: School of Photographic Arts and Sciences (CIAS), 1992, Rochester Institute of Technology

 The photographic image is by nature fragile. Most photographic print images are supported by paper and most commonly employ silver as the light sensitive material.… (more)

Subjects/Keywords: Image-stability enhancement; Photographs

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APA (6th Edition):

Gmuender, C. (1992). On black-and-white paper image-stability enhancement. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5313

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

Chicago Manual of Style (16th Edition):

Gmuender, Christopher. “On black-and-white paper image-stability enhancement.” 1992. Thesis, Rochester Institute of Technology. Accessed March 30, 2020. https://scholarworks.rit.edu/theses/5313.

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

MLA Handbook (7th Edition):

Gmuender, Christopher. “On black-and-white paper image-stability enhancement.” 1992. Web. 30 Mar 2020.

Vancouver:

Gmuender C. On black-and-white paper image-stability enhancement. [Internet] [Thesis]. Rochester Institute of Technology; 1992. [cited 2020 Mar 30]. Available from: https://scholarworks.rit.edu/theses/5313.

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

Council of Science Editors:

Gmuender C. On black-and-white paper image-stability enhancement. [Thesis]. Rochester Institute of Technology; 1992. Available from: https://scholarworks.rit.edu/theses/5313

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


The Ohio State University

26. Ramakrishnan, Naveen. Joint Enhancement of Multichannel Synthetic Aperture Radar Data.

Degree: MS, Electrical Engineering, 2008, The Ohio State University

  In this thesis, we consider the problem of joint image enhancement of multi-channel Synthetic Aperture Radar (SAR) data. For multi-channel data, we show that… (more)

Subjects/Keywords: Electrical Engineering; SAR; IFSAR; regularization; radar; image enhancement

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APA (6th Edition):

Ramakrishnan, N. (2008). Joint Enhancement of Multichannel Synthetic Aperture Radar Data. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1204722288

Chicago Manual of Style (16th Edition):

Ramakrishnan, Naveen. “Joint Enhancement of Multichannel Synthetic Aperture Radar Data.” 2008. Masters Thesis, The Ohio State University. Accessed March 30, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1204722288.

MLA Handbook (7th Edition):

Ramakrishnan, Naveen. “Joint Enhancement of Multichannel Synthetic Aperture Radar Data.” 2008. Web. 30 Mar 2020.

Vancouver:

Ramakrishnan N. Joint Enhancement of Multichannel Synthetic Aperture Radar Data. [Internet] [Masters thesis]. The Ohio State University; 2008. [cited 2020 Mar 30]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1204722288.

Council of Science Editors:

Ramakrishnan N. Joint Enhancement of Multichannel Synthetic Aperture Radar Data. [Masters Thesis]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1204722288


NSYSU

27. Hu , Chun-Ting. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.

Degree: Master, Marine Environment and Engineering, 2012, NSYSU

 Aerial images had been used in various fields. If the shooting it in conditions of bad weather, that quality was damage. So requires use of… (more)

Subjects/Keywords: aerial image; enhancement; BEMD; contrast adjustment; color transform

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

APA (6th Edition):

Hu , C. (2012). The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808

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

Chicago Manual of Style (16th Edition):

Hu , Chun-Ting. “The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.” 2012. Thesis, NSYSU. Accessed March 30, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808.

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

MLA Handbook (7th Edition):

Hu , Chun-Ting. “The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.” 2012. Web. 30 Mar 2020.

Vancouver:

Hu C. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Mar 30]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808.

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

Council of Science Editors:

Hu C. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808

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


University of Western Ontario

28. Liu, Chang. Digits Recognition on Medical Device.

Degree: 2016, University of Western Ontario

 With the rapid development of mobile health, mechanisms for automatic data input are becoming increasingly important for mobile health apps. In these apps, users are… (more)

Subjects/Keywords: Image Enhancement; Stroke Width Transform; Tesseract-OCR Engine

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

APA (6th Edition):

Liu, C. (2016). Digits Recognition on Medical Device. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3683

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

Chicago Manual of Style (16th Edition):

Liu, Chang. “Digits Recognition on Medical Device.” 2016. Thesis, University of Western Ontario. Accessed March 30, 2020. https://ir.lib.uwo.ca/etd/3683.

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

MLA Handbook (7th Edition):

Liu, Chang. “Digits Recognition on Medical Device.” 2016. Web. 30 Mar 2020.

Vancouver:

Liu C. Digits Recognition on Medical Device. [Internet] [Thesis]. University of Western Ontario; 2016. [cited 2020 Mar 30]. Available from: https://ir.lib.uwo.ca/etd/3683.

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

Council of Science Editors:

Liu C. Digits Recognition on Medical Device. [Thesis]. University of Western Ontario; 2016. Available from: https://ir.lib.uwo.ca/etd/3683

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


NSYSU

29. Chen, Hao-ya. Adaptive Enhancement and Glow Removal of Low-light Images.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 Low-light image enhancement technology has been applied in many areas, such as night surveillance systems, road safety monitoring systems, etc. However, most of the existing… (more)

Subjects/Keywords: Adaptive enhancement; Color calibration; Noise reduction; Low-light image; Glow removal

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

APA (6th Edition):

Chen, H. (2017). Adaptive Enhancement and Glow Removal of Low-light Images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527

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

Chicago Manual of Style (16th Edition):

Chen, Hao-ya. “Adaptive Enhancement and Glow Removal of Low-light Images.” 2017. Thesis, NSYSU. Accessed March 30, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527.

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

MLA Handbook (7th Edition):

Chen, Hao-ya. “Adaptive Enhancement and Glow Removal of Low-light Images.” 2017. Web. 30 Mar 2020.

Vancouver:

Chen H. Adaptive Enhancement and Glow Removal of Low-light Images. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Mar 30]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527.

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

Council of Science Editors:

Chen H. Adaptive Enhancement and Glow Removal of Low-light Images. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527

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


University of Debrecen

30. Tóth, Imre. Szabadon választott téma a digitális képfeldolgozás témakörében .

Degree: DE – TEK – Informatikai Kar, 2008, University of Debrecen

Ez a dolgozat a képek előfeldolgozásával foglalkozik, pontosabban a képjavítási eljárásokkal. A három fő témakör, amit érint: hisztogram alapú eljárások, zajok eltüntetése, és képek élességének állítása. Advisors/Committee Members: Fazekas, Attila (advisor).

Subjects/Keywords: Képjavítási eljárások; image enhancement

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

APA (6th Edition):

Tóth, I. (2008). Szabadon választott téma a digitális képfeldolgozás témakörében . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/4681

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

Chicago Manual of Style (16th Edition):

Tóth, Imre. “Szabadon választott téma a digitális képfeldolgozás témakörében .” 2008. Thesis, University of Debrecen. Accessed March 30, 2020. http://hdl.handle.net/2437/4681.

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

MLA Handbook (7th Edition):

Tóth, Imre. “Szabadon választott téma a digitális képfeldolgozás témakörében .” 2008. Web. 30 Mar 2020.

Vancouver:

Tóth I. Szabadon választott téma a digitális képfeldolgozás témakörében . [Internet] [Thesis]. University of Debrecen; 2008. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2437/4681.

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

Council of Science Editors:

Tóth I. Szabadon választott téma a digitális képfeldolgozás témakörében . [Thesis]. University of Debrecen; 2008. Available from: http://hdl.handle.net/2437/4681

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

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