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You searched for subject:(Image Enhancement). Showing records 1 – 30 of 233 total matches.

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Rochester Institute of Technology

1. Kucer, Michal. Representations and representation learning for image aesthetics prediction and image enhancement.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2020, Rochester Institute of Technology

  With the continual improvement in cell phone cameras and improvements in the connectivity of mobile devices, we have seen an exponential increase in the… (more)

Subjects/Keywords: Image aesthetics; Image cropping; Image enhancement

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APA (6th Edition):

Kucer, M. (2020). Representations and representation learning for image aesthetics prediction and image enhancement. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10464

Chicago Manual of Style (16th Edition):

Kucer, Michal. “Representations and representation learning for image aesthetics prediction and image enhancement.” 2020. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 24, 2021. https://scholarworks.rit.edu/theses/10464.

MLA Handbook (7th Edition):

Kucer, Michal. “Representations and representation learning for image aesthetics prediction and image enhancement.” 2020. Web. 24 Jan 2021.

Vancouver:

Kucer M. Representations and representation learning for image aesthetics prediction and image enhancement. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2020. [cited 2021 Jan 24]. Available from: https://scholarworks.rit.edu/theses/10464.

Council of Science Editors:

Kucer M. Representations and representation learning for image aesthetics prediction and image enhancement. [Doctoral Dissertation]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10464


University of Saskatchewan

2. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Imtiaz M1. Color Image Enhancement Techniques for Endoscopic images. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2021 Jan 24]. 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

3. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

A S. Digital filter design using evolvable Hardware chip for image Enhancement;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Jan 24]. 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

4. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Choudhury AKA. Automatic image and video enhancement with application to visually impaired people. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Jan 24]. 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

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

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 January 24, 2021. http://hdl.handle.net/2142/78325.

MLA Handbook (7th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Web. 24 Jan 2021.

Vancouver:

Singh A. Learning to super-resolve images using self-similarities. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Jan 24]. 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

6. 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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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

7. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Talebi H. Global Image Filtering. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2021 Jan 24]. 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

8. 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 January 24, 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 (7th Edition):

Luo, Enming. “Statistical and Adaptive Patch-based Image Denoising.” 2016. Web. 24 Jan 2021.

Vancouver:

Luo E. Statistical and Adaptive Patch-based Image Denoising. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2021 Jan 24]. 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

9. 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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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


Rochester Institute of Technology

10. Gandhi, Sahaj Tushar. Context Sensitive Image Denoising and Enhancement using U-Nets.

Degree: MS, Computer Science (GCCIS), 2020, Rochester Institute of Technology

  Noise in images gets introduced at almost every stage of the camera image signal processing pipeline (ISP). Camera companies provide software that cleans most… (more)

Subjects/Keywords: Computer vision; Image enhancement; Noise cleaning

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

APA (6th Edition):

Gandhi, S. T. (2020). Context Sensitive Image Denoising and Enhancement using U-Nets. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10588

Chicago Manual of Style (16th Edition):

Gandhi, Sahaj Tushar. “Context Sensitive Image Denoising and Enhancement using U-Nets.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed January 24, 2021. https://scholarworks.rit.edu/theses/10588.

MLA Handbook (7th Edition):

Gandhi, Sahaj Tushar. “Context Sensitive Image Denoising and Enhancement using U-Nets.” 2020. Web. 24 Jan 2021.

Vancouver:

Gandhi ST. Context Sensitive Image Denoising and Enhancement using U-Nets. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Jan 24]. Available from: https://scholarworks.rit.edu/theses/10588.

Council of Science Editors:

Gandhi ST. Context Sensitive Image Denoising and Enhancement using U-Nets. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10588


Deakin University

11. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Nelson K. Super-resolution of 3-dimensional scenes. [Internet] [Thesis]. Deakin University; 2013. [cited 2021 Jan 24]. 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

12. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Shahbazpanahi S. Learning image enhancement and object localization using evolutionary algorithms. [Internet] [Thesis]. University of Ontario Institute of Technology; 2014. [cited 2021 Jan 24]. 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


Universidade Nova

13. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Costa MABR. Calibration, selection and mosaicing of SMART-1 AMIE images. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Jan 24]. 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

14. 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 (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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Megyesi Z. HDR képalkotási módszerek analízise és módosítások ajánlása . [Internet] [Thesis]. University of Debrecen; 2012. [cited 2021 Jan 24]. 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


Coventry University

15. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Iqbal K. Image detection and retrieval for biometric security from an image enhancement perspective. [Internet] [Doctoral dissertation]. Coventry University; 2011. [cited 2021 Jan 24]. 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

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

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/3783

Chicago Manual of Style (16th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Doctoral Dissertation, University of Southern California. Accessed January 24, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3783.

MLA Handbook (7th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Web. 24 Jan 2021.

Vancouver:

Ramachandra CA. Learning contour statistics from natural images. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Jan 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3783.

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/3783


Princeton University

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

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 January 24, 2021. http://arks.princeton.edu/ark:/88435/dsp01wp988n22n.

MLA Handbook (7th Edition):

Liu, Yiming. “Internet-Data-Driven Image Creation and Enhancement .” 2016. Web. 24 Jan 2021.

Vancouver:

Liu Y. Internet-Data-Driven Image Creation and Enhancement . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2021 Jan 24]. 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


University of KwaZulu-Natal

18. Maharaj, Rivania. Multimodal enhancement-fusion technique for natural images.

Degree: 2018, University of KwaZulu-Natal

 This dissertation presents a multimodal enhancement-fusion (MEF) technique for natural images. The MEF is expected to contribute value to machine vision applications and personal image(more)

Subjects/Keywords: Multimodal enhancement-fusion technique.; Natural images.; Machine vision applications.; Image enhancement techniques.

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

APA (6th Edition):

Maharaj, R. (2018). Multimodal enhancement-fusion technique for natural images. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/17948

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):

Maharaj, Rivania. “Multimodal enhancement-fusion technique for natural images.” 2018. Thesis, University of KwaZulu-Natal. Accessed January 24, 2021. https://researchspace.ukzn.ac.za/handle/10413/17948.

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

MLA Handbook (7th Edition):

Maharaj, Rivania. “Multimodal enhancement-fusion technique for natural images.” 2018. Web. 24 Jan 2021.

Vancouver:

Maharaj R. Multimodal enhancement-fusion technique for natural images. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2021 Jan 24]. Available from: https://researchspace.ukzn.ac.za/handle/10413/17948.

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

Council of Science Editors:

Maharaj R. Multimodal enhancement-fusion technique for natural images. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/17948

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


NSYSU

19. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Kuo C. Underwater Image Dehazing and Enhancement by Compensating Light Absorption Loss and Multi-exposure Fusion. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Jan 24]. 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

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 January 24, 2021. 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. 24 Jan 2021.

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 2021 Jan 24]. 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


University of Arizona

21. 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 January 24, 2021. http://hdl.handle.net/10150/626164.

MLA Handbook (7th Edition):

Ram, Sundaresh. “Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions .” 2017. Web. 24 Jan 2021.

Vancouver:

Ram S. Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2021 Jan 24]. 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


Mahatma Gandhi University

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

Degree: Computer science, 2014, Mahatma Gandhi University

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 (6th 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 (16th Edition):

Nair, Madhu S. “Soft computing approaches for image restoration and enhancement;.” 2014. Thesis, Mahatma Gandhi University. Accessed January 24, 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 (7th Edition):

Nair, Madhu S. “Soft computing approaches for image restoration and enhancement;.” 2014. Web. 24 Jan 2021.

Vancouver:

Nair MS. Soft computing approaches for image restoration and enhancement;. [Internet] [Thesis]. Mahatma Gandhi University; 2014. [cited 2021 Jan 24]. 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

23. Wang, Hongsheng. Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples.

Degree: MS, Petroleum Engineering, 2018, University of North Dakota

  As the preferential flow channels in the shale reservoir, the fracture systems including the natural micro-cracks and hydraulic fractures have received great attention from… (more)

Subjects/Keywords: Image Enhancement; Image Segmentation; Permeability; SEM Scanning; Shale Rock; X-ray CT Scanning

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

APA (6th Edition):

Wang, H. (2018). Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2436

Chicago Manual of Style (16th Edition):

Wang, Hongsheng. “Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples.” 2018. Masters Thesis, University of North Dakota. Accessed January 24, 2021. https://commons.und.edu/theses/2436.

MLA Handbook (7th Edition):

Wang, Hongsheng. “Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples.” 2018. Web. 24 Jan 2021.

Vancouver:

Wang H. Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples. [Internet] [Masters thesis]. University of North Dakota; 2018. [cited 2021 Jan 24]. Available from: https://commons.und.edu/theses/2436.

Council of Science Editors:

Wang H. Digital Rock Reconstruction And Property Calculation Of Fractured Shale Rock Samples. [Masters Thesis]. University of North Dakota; 2018. Available from: https://commons.und.edu/theses/2436


Mid Sweden University

24. Mei, Zhijie. Computer-Aided Optically Scanned Document Information Extraction System.

Degree: Information Systems and Technology, 2020, Mid Sweden University

  This paper introduced a Computer-Aided Optically Scanned Document Information Extraction System. It could extract information including invoice No., issued date, buyer, etc., from the… (more)

Subjects/Keywords: information extraction system; image enhancement; image classification; template matching; Computer Systems; Datorsystem

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

APA (6th Edition):

Mei, Z. (2020). Computer-Aided Optically Scanned Document Information Extraction System. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190

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):

Mei, Zhijie. “Computer-Aided Optically Scanned Document Information Extraction System.” 2020. Thesis, Mid Sweden University. Accessed January 24, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190.

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

MLA Handbook (7th Edition):

Mei, Zhijie. “Computer-Aided Optically Scanned Document Information Extraction System.” 2020. Web. 24 Jan 2021.

Vancouver:

Mei Z. Computer-Aided Optically Scanned Document Information Extraction System. [Internet] [Thesis]. Mid Sweden University; 2020. [cited 2021 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190.

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

Council of Science Editors:

Mei Z. Computer-Aided Optically Scanned Document Information Extraction System. [Thesis]. Mid Sweden University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190

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


Brunel University

25. Noor, Azad. A new algorithm for minutiae extraction and matching in fingerprint.

Degree: PhD, 2012, Brunel University

 A novel algorithm for fingerprint template formation and matching in automatic fingerprint recognition has been developed. At present, fingerprint is being considered as the dominant… (more)

Subjects/Keywords: 006.4; Fingerprint biometrics; Image processing in fingerprints; Fingerprint template; Minutiae based matching; Fingerprint image enhancement

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

APA (6th Edition):

Noor, A. (2012). A new algorithm for minutiae extraction and matching in fingerprint. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7473 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573596

Chicago Manual of Style (16th Edition):

Noor, Azad. “A new algorithm for minutiae extraction and matching in fingerprint.” 2012. Doctoral Dissertation, Brunel University. Accessed January 24, 2021. http://bura.brunel.ac.uk/handle/2438/7473 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573596.

MLA Handbook (7th Edition):

Noor, Azad. “A new algorithm for minutiae extraction and matching in fingerprint.” 2012. Web. 24 Jan 2021.

Vancouver:

Noor A. A new algorithm for minutiae extraction and matching in fingerprint. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2021 Jan 24]. Available from: http://bura.brunel.ac.uk/handle/2438/7473 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573596.

Council of Science Editors:

Noor A. A new algorithm for minutiae extraction and matching in fingerprint. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/7473 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573596


Luleå University of Technology

26. Kumar, Rachit. Automatic Radiometric Improvement of Moon Images for Shadow Segmentation.

Degree: 2015, Luleå University of Technology

Kaufmann et al. [18] have proposed a method for pose estimation of the spacecraft during the descent phase by matching the shadows between real… (more)

Subjects/Keywords: Technology; Image processing; Optical navigation; Shadow segmentation; Radiometric enhancement; Lunar image classification; Teknik

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

APA (6th Edition):

Kumar, R. (2015). Automatic Radiometric Improvement of Moon Images for Shadow Segmentation. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45668

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):

Kumar, Rachit. “Automatic Radiometric Improvement of Moon Images for Shadow Segmentation.” 2015. Thesis, Luleå University of Technology. Accessed January 24, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45668.

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

MLA Handbook (7th Edition):

Kumar, Rachit. “Automatic Radiometric Improvement of Moon Images for Shadow Segmentation.” 2015. Web. 24 Jan 2021.

Vancouver:

Kumar R. Automatic Radiometric Improvement of Moon Images for Shadow Segmentation. [Internet] [Thesis]. Luleå University of Technology; 2015. [cited 2021 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45668.

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

Council of Science Editors:

Kumar R. Automatic Radiometric Improvement of Moon Images for Shadow Segmentation. [Thesis]. Luleå University of Technology; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45668

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


Florida International University

27. Huang, Jian. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.

Degree: PhD, Electrical Engineering, 2013, Florida International University

  With the progress of computer technology, computers are expected to be more intelligent in the interaction with humans, presenting information according to the user's… (more)

Subjects/Keywords: Image Precompensation; Image Enhancement; Ocular Aberration; Visual Blurring; Graphics and Human Computer Interfaces; Signal Processing

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APA (6th Edition):

Huang, J. (2013). Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516

Chicago Manual of Style (16th Edition):

Huang, Jian. “Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.” 2013. Doctoral Dissertation, Florida International University. Accessed January 24, 2021. https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516.

MLA Handbook (7th Edition):

Huang, Jian. “Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations.” 2013. Web. 24 Jan 2021.

Vancouver:

Huang J. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. [Internet] [Doctoral dissertation]. Florida International University; 2013. [cited 2021 Jan 24]. Available from: https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516.

Council of Science Editors:

Huang J. Dynamic Image Precompensation for Improving Visual Performance of Computer Users with Ocular Aberrations. [Doctoral Dissertation]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/902 ; 10.25148/etd.FI13080516 ; FI13080516


NSYSU

28. 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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Hu C. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Jan 24]. 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


Rochester Institute of Technology

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

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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Gmuender C. On black-and-white paper image-stability enhancement. [Internet] [Thesis]. Rochester Institute of Technology; 1992. [cited 2021 Jan 24]. 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

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

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 January 24, 2021. 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. 24 Jan 2021.

Vancouver:

Τσάκωνας . Μελέτη επίδρασης μεθόδων ενίσχυσης εικόνας στο χαρακτηρισμό αλλοιώσεων στη μαστογραφική απεικόνιση. [Internet] [Masters thesis]. University of Patras; 2009. [cited 2021 Jan 24]. 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

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