Nonlocal and Randomized Methods in Sparse Signal and Image Processing
<p> This thesis focuses on the topics of sparse and non-local signal and image processing. In particular, I present novel algorithms that exploit a combination of sparse and non-local data models to perform tasks such as compressed-sensing reconstruction, image compression, and image denoising...
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| Language: | EN |
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The University of Arizona
2018
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10840330 |