摘要
针对现有彩色图像增强算法的问题,提出了一种基于稳态遗传算法和Retinex理论的彩色图像增强算法.该算法首先把彩色图像从RGB颜色空间转换到HSI颜色空间,然后利用双线性差值和高斯函数滤波来分离光照分量,采用Beta函数实现亮度增强,最后通过稳态遗传算法来估算Beta函数的最优参数以实现彩色图像增强.仿真结果表明,该算法的图像增强效果明显优于CIEH算法和CIEGA算法.
Aiming at the problems of the existing color image enhancement algorithms,a color image enhancement algorithm based on steady genetic algorithm and Retinex theory is proposed.Firstly,the proposed algorithm converts the color image from RGB color space to HSI color space.Secondly,lighting channel is separated by double linear difference and Gaussian filter.Thirdly,Beta function is used to realize the image enhancement.Lastly,steady genetic algorithm is used to estimate the optimized parameters of Beta function.Simulations demonstrate that the performance of the proposed algorithm is superior to that of CIEH algorithm and CIEGA algorithm.
作者
胡敬文
聂承静
刘世明
HU Jing-wen NIE Cheng-jing LIU Shi-ming(Corn m unity Education Department, Foshan Radio ~ TV University, Foshan 528000, Guangdong , China School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061 ,China School of Resources and Safety Engineering, Central South University, Changsha 410083, China)
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第2期246-250,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
河北省自然科学基金资助项目(D2015207002)
