基于非线性加权最优模糊聚类的彩色图像增强

Color Image Enhancement Based on Nonlinear Weighted Optimal Fuzzy Cluster

根据人眼对色彩的感知特性,提出HSV色彩空间上的一种非线性加权最优模糊聚类的彩色图像增强算法.将原始图像从RGB空间转换到HSV色彩空间,提取H、S、V三分量,对其中的亮度分量V进行非线性最优模糊聚类增强处理,将合成后的HSV图像转回到RGB空间,完成彩色图像的增强处理.实验结果表明,该算法能避免色彩失真,改善图像的色彩辨识性,提高了景物信息的清晰度.

A color image enhancement method,based on nonlinear weighted optimal fuzzy cluster processed in HSV color space,was proposed according to human eyes＇ perceptual characteristic to color in daily life. The original color image was converted from RGB to HSV color space and the H, S, V components were extracted. Only V component was made to nonlinear weighted optimal fuzzy cluster. The enhancing process was finished after synthesis the H,S,V components and return to RGB space. Experiment result shows that this algorithm can avoid color distortion,and improve the color resolution and scenery definition.