摘要
图像增强是图像处理的关键技术之一,为了实现图像糊模增强,提高图像质量,提出一种基于混沌粒子群优化算法的图像模糊增强方法。首先对传统模糊增强方法的原理进行分析,指出了人工设置参数的不足,然后采用调整参数少,全局寻优能力强的混沌粒子群算法对模糊增强方法的参数进行优化,最后采用仿真实验对算法的性能进行测试。实验结果表明,混沌粒子群算法可以提高图像的清晰度,不仅得到了较理想的图像视觉效果,而且各项评价指标要优于对比方法。
Image enhancement is a key technology of image processing,in order to achieve image fuzzy enhancement and improve the quality of the image,this paper proposes an image fuzzy enhancement method based on chaos particle swarm optimization algorithm. The defects of traditional fuzzy enhancement algorithm are analysis and points out the deficiencies of artificial setting parameters,and secondly chaotic particle swarm algorithm which has few parameters,strong global searching ability is used to optimize the parameters of fuzzy enhancement algorithm,finally the simulation experiment is used to test the performance of algorithm. The experimental results show that the chaotic particle swarm optimization algorithm can improve image resolution,not only can obtain ideal effect of the image visual,and the evaluation indexes are better than the comparison method.
出处
《激光杂志》
北大核心
2015年第6期135-138,共4页
Laser Journal
基金
海南自然科学基金(614241)
关键词
模糊增强
图像处理
粒子群算法
混沌系统
image processing
fuzzy enhancement
particle swarm algorithm
chaos system
