基于混沌遗传算法的图像恢复技术

遗传算法是一种模拟生物选择、进化过程的随机、并行搜索算法.本文利用图像恢复的数学模型,采用嵌入混沌序列生成初始种群的遗传算法对退化图像进行恢复,可以有效的解决逆滤波复原算法中存在的恢复后图像的精确度不足等缺点.有较好的恢复效果.同时为了解决遗传算法局部收敛和收敛速度慢的问题,本文算法中又引入了混沌优化机制.

Image Recovery Technology Based on the Chaos Genetic Algorithm

The genetic algorithm is a random and parallel search algorithm which simulates the process of biological selection and evolution.Based on the mathematic model of the image recovery,the paper adopts the genetic algorithm whose initial population are generated by inserting the chaos alignment.It works effectively for resolving the problem in the inverse filtering recovery whose accuracy shows deficient after recovering the images.The paper also introduces the chaos optimization mechanism,that helps avoiding the problems of the partial convergence and the slow convergence in the genetic algorithm.