一种改进粒子群优化的图像恢复算法  

A Image Restoration Algorithm Based on Improved Particle Swarm Optimization

作　　者：王新霞[1] 李国梁[1] 

机构地区：[1]信阳师范学院计算机与信息技术学院,河南信阳464000

出　　处：《信阳师范学院学报（自然科学版）》2009年第3期457-460,共4页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：河南省教育厅自然科学基础研究项目(2007520043)

摘　　要：分析图像恢复算法现有的一些问题,提出一种改进PSO的图像恢复算法.结合图像恢复算法的特性,给出了适应度函数、搜索空间和算法参数的选取,提出了用邻居最优粒子的影响来加快收敛速度的PSO改进策略和随机开扰动窗口来缩小搜索范围的改进策略.The existing problems of the image restoration algorithm were analyzed, and a new image restoration algorithm based on particle swarm optimization was presented. Combining with the characteristics of image restoration algorithm, the fitness function, searching space and the selecting of parameters were introduced. The strategies of speeding up the convergence rate with the influenced of the optinal neighbor swarm and reducing searching space with opening window randomly were proposed.

关 键 词：图像恢复 粒子群算法 搜索空间 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]