Maximum a posteriori blind image deconvolution with Huber-Markov random-field regularization

被引：55

作者：

Xu, Zhimin ^{[1
]}

Lam, Edmund Y. ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Elect & Elect Engn, Imaging Syst Lab, Hong Kong, Hong Kong, Peoples R China

来源：

OPTICS LETTERS | 2009年 / 34卷 / 09期

关键词：

RESTORATION; ALGORITHM;

D O I：

10.1364/OL.34.001453

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We propose a maximum a posteriori blind deconvolution approach using a Huber-Markov random-field model. Compared with the conventional maximum-likelihood method, our algorithm not only suppresses noise effectively but also significantly alleviates the artifacts produced by the deconvolution process. The performance of this method is demonstrated by computer simulations. (C) 2009 Optical Society of America

引用

页码：1453 / 1455

页数：3

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