Edge-based blur kernel estimation using patch priors
Blind image deconvolution, i.e., estimating a blur kernel k and a latent image x from an input blurred image y, is a severely ill-posed problem. In this paper we introduce a new patch-based strategy for kernel estimation in blind deconvolution. Our approach estimates a "trusted" subset of...
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Published in | 2013 IEEE International Conference on Computational Photography (ICCP) pp. 1 - 8 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2013
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Subjects | |
Online Access | Get full text |
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