基于蛙跳算法的模糊图像复原  

Fuzzy Image Restoration Based on Frog Leaping Algorithm

作　　者：陈洪涛[1] 陈淑静[1] 邵明省[2] 

机构地区：[1]黄淮学院,河南驻马店463000 [2]鹤壁职业技术学院,河南鹤壁458030

出　　处：《电视技术》2012年第3期13-16,54,共5页Video Engineering

基　　金：鹤壁职业技术学院校本课题(HZY-2011-59)

摘　　要：针对模糊图像复原的特点,提出蛙跳算法。首先按青蛙适应度值从大到小降序排序,控制种群移动步长对子群中最差青蛙的位置进行更新;接着通过模糊运动图像模型构造矩阵函数对图像复原,将蛙跳步长与模糊图像抑制比建立关系,同时给出评价指标体系以及算法流程。实验仿真结果证明,蛙跳算法具有对模糊图像复原清晰度高、抑制噪声能力强的特点。According to the characteristics of the fuzzy image restoration, forward frog leaping algorithm. Firstly, frog＇ s fitness value is from big to small descending order, controls population mobile step length of the worst pairs frog position update. Then through the fuzzy movement model of structure matrix function image to complete image restoration, choosing the step and fuzzy images than established relationship, and inhibit given evaluation index system and algorithm procedures. Experimental simulation results show that the algorithm of fuzzy leap image restoration high-definition, strong ability to reduce the noise characteristics.

关 键 词：蛙跳 模糊 复原 

分 类 号：TN911.73[电子电信—通信与信息系统]