关键词: 图像盲复原 Weber律 粒子群优化 交替最小化 点传播函数

Abstract:

The mean square error （MSE） between a fuzzy image and its restored image is usually used as the criterion in traditional blind image restoration met  hods, which results in the bad effect in human vision. In order to get finer restoration images,a modified blind image restoration criterion is presente  d in this paper, which combines with the model of visual features （Weber＇s law）. In addition, based on a double particle swarm optimization （PSO） a  algorithm,an iterative scheme using alternating minimization is devised to recover the image and simultaneously identify the Point Spread Function （PSF   F）. The first PSO focuses on evolving PSF in the process of identification. At the same time, the second PSO focuses on evolving the recovered image in n the process of restoration. The experimental results show a superior performance compared to the previous approach.

Key words: （blind image restoration, Weber＇s law, PSO, alternating minimization （AM）, PSF）