Fast relative newton algorithm for blind deconvolution of images

被引：0
|
作者：
Bronstein, AM [1 ]
Zibulevsky, M [1 ]
Zeevi, YY [1 ]
Bronstein, MM [1 ]
机构：
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
来源：
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5 | 2004年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We present an efficient Newton-like algorithm for quasi-maximum likelihood (QML) blind deconvolution of images. This algorithm exploits the sparse structure of the Hessian. An optirnal distribution-shaping approach by means ofsparsification allows one to use simple and convenient sparsity prior for processing of a wide range of natural images. Simulation results demonstrate the efficiency of the proposed method.
引用
收藏
页码：1233 / 1236
页数：4
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