四川农业大学学报 ›› 2004, Vol. 22 ›› Issue (02): 199-202.doi: 10.16036/j.issn.1000-2650.2004.02.026

• • 上一篇    

基于改进遗传算法的图像恢复

汪建   

  1. 四川农业大学 生命科学与理学院, 四川 雅安 625014
  • 收稿日期:2003-12-02 出版日期:2004-06-30 发布日期:2017-03-04

Image Recovery Based on Improved Genetic Algorithm

WANG Jian   

  1. College of Biology and Science, Sichuan Agricultural University, Yaan 625014, Sichuan, China
  • Received:2003-12-02 Online:2004-06-30 Published:2017-03-04

摘要: 论述了基于遗传算法的图像恢复方法,提出了将模拟退火法和遗传算法相结合求解图像非线性最优化问题的算法。改进的算法提高了进化速度和全局寻优的能力,从而提高了图像的复原度,实验结果表明算法是有效可行的。

关键词: 遗传算法, 图像恢复, 模拟退火算法, 适应度函数

Abstract: The paper discusses an image recovery method based on improved genetic algorithm. The algorithm based on combination of the genetic algorithms with simulated annealing(SA) for image global nonlinear optimization is presented. This improved algorithm provides faster execution time and improves the abilities to seek the global excellent result. It improves the image degree of recovery. The experimental results show the feasibility and effectiveness of the algorithm.

Key words: genetic algorithms, image recovery, simulated annealing algorithms, fitness function

中图分类号: 

  • TP919