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

页码：1233 / 1236

页数：4

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