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case1307716086.pdf (1.33 MB)
ETD Abstract Container
Abstract Header
Blind Image Deconvolution with Conditionally Gaussian Hypermodels
Author Info
Munch, James Joseph
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case1307716086
Abstract Details
Year and Degree
2011, Master of Sciences, Case Western Reserve University, Mathematics.
Abstract
This paper presents an alternating, iterative implementation of the Bayesian Framework as a means for solving blind deconvolution problems. Specically, a blind deblurring problem is reviewed as proof of this concept. In this paper it will be shown that, given proper a priori beliefs about a system, along with a blurred image and an initial estimate for the kernel, the important properties of both the original signal and kernel, which are used to generate the blurred image, are recovered by this approach.
Committee
Daniela Calvetti, PhD (Advisor)
Erkki Somersalo, PhD (Advisor)
Weihong Guo, PhD (Committee Member)
Pages
57 p.
Subject Headings
Mathematics
Keywords
Deconvolution
;
Blind Deconvolution
;
Bayesian
;
Hypermodels
;
Imaging
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Citations
Munch, J. J. (2011).
Blind Image Deconvolution with Conditionally Gaussian Hypermodels
[Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1307716086
APA Style (7th edition)
Munch, James.
Blind Image Deconvolution with Conditionally Gaussian Hypermodels.
2011. Case Western Reserve University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case1307716086.
MLA Style (8th edition)
Munch, James. "Blind Image Deconvolution with Conditionally Gaussian Hypermodels." Master's thesis, Case Western Reserve University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307716086
Chicago Manual of Style (17th edition)
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Document number:
case1307716086
Download Count:
488
Copyright Info
© 2011, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.