Out-of-Focus Blur Estimation for Blind Image Deconvolution: Using Particle Swarm Optimization

被引：5

作者：

Sun, Tsung-Ying ^{[1
]}

Ciou, Sin-Jhe ^{[1
]}

Liu, Chan-Cheng ^{[1
]}

Huo, Chih-Li ^{[1
]}

机构：

[1] Natl Dong Hwa Univ, Dept Elect Engn, Hualien, Taiwan

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

out of focus; blind image deconvolution; point spread function; particle swarm optimization; Wiener filter; wavelet transform; RESTORATION; SCHEME;

D O I：

10.1109/ICSMC.2009.5346769

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study addresses the blind image deconvolution which uses only blurred image and less point spread function (PSF) information to restore the original image. To identify the blind image it is a very important step for restoring the image. Therefore, the first step is to look for PSF model. In this paper, particle swarm optimization (PSO) is utilized to seek the unknown PSF. The objective function is based on the wavelet transform. It can identify the parameters of PSF exactly. Finally, the feasibility and validity of proposed algorithm are demonstrated by several simulations.

引用

页码：1627 / 1632

页数：6

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