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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Bibliographic Details
Published in2013 IEEE International Conference on Computational Photography (ICCP) pp. 1 - 8
Main Authors Libin Sun, Sunghyun Cho, Jue Wang, Hays, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
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