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Corrupted Image Quality Assessment

Cheng, Wu
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249

Abstract Details

2012, Master of Science (M.S.), University of Dayton, Electrical Engineering.
We propose a foundation for assessing visual quality with "corrupted reference"(CR-QA) - a new quality assessment(QA) paradigm for reasoning about human vision and image restoration problems jointly. The visual quality of a processed image signal is assessed relative to an ideal reference image (not provided) with the help of observed image. This is in contrast to today's QAs, which are optimized for a "post-hoc" usage (process first, assess quality second) and are unequipped to handle the assessment of the processed data relative to the ideal reference that exist only in theory and not in practice.
Keigo Hirakawa (Committee Chair)
K. Asari Vijayan (Committee Member)
H. Brian Tsou (Committee Member)
Engineering; Statistics
corrupted reference; CR-QA; image quality; image assessment; image restoration;

Recommended Citations

Citations

  • Cheng, W. (2012). Corrupted Image Quality Assessment [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249

    APA Style (7th edition)

  • Cheng, Wu. Corrupted Image Quality Assessment. 2012. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249.

    MLA Style (8th edition)

  • Cheng, Wu. "Corrupted Image Quality Assessment." Master's thesis, University of Dayton, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249

    Chicago Manual of Style (17th edition)

dayton1335969249
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© 2012, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.