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dayton1292527349.pdf (8.14 MB)
ETD Abstract Container
Abstract Header
Spatially Non-Uniform Blur Analysis Based on Wavelet Transform
Author Info
Zhang, Yi
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292527349
Abstract Details
Year and Degree
2010, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
Object motion causes spatially varying blur in an image. Partial blur typically carries useful information about the scene. This information is useful for consumer imaging as well as computer vision. However, spatially varying blur also deteriorates image quality. The goals of our research are finding out this information and making images better. In this thesis we introduce a novel method for solving this partial blur problem. We define a statistical model of a spatially-varying blur image and estimate the local point spread function (PSF) by using a set of methods including double wavelet transform and local autocorrelation. Experimental results demonstrate the effectiveness of the proposed algorithm
Committee
Keigo Hirakawa (Committee Chair)
Eric Balster (Committee Member)
Vijayan Asari (Committee Member)
Pages
38 p.
Subject Headings
Electrical Engineering
Keywords
spatially non-uniform
;
motion blur dense estimation
;
over-complete wavelet transform
;
motion segmentation
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Citations
Zhang, Y. (2010).
Spatially Non-Uniform Blur Analysis Based on Wavelet Transform
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292527349
APA Style (7th edition)
Zhang, Yi.
Spatially Non-Uniform Blur Analysis Based on Wavelet Transform.
2010. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292527349.
MLA Style (8th edition)
Zhang, Yi. "Spatially Non-Uniform Blur Analysis Based on Wavelet Transform." Master's thesis, University of Dayton, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292527349
Chicago Manual of Style (17th edition)
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Document number:
dayton1292527349
Download Count:
805
Copyright Info
© 2010, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.