Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deco...
Main Authors: | Durand, Fredo, Levin, Anat, Weiss, Yair, Freeman, William T. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
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Online Access: | http://hdl.handle.net/1721.1/59815 https://orcid.org/0000-0001-9919-069X https://orcid.org/0000-0002-2231-7995 |
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