图像通信中一种低照度彩色图像增强算法

A Low Illumination Color Image Enhancement Algorithm in Image Communication

针对低照度彩色图像细节模糊、亮度不高等问题,提出一种新的彩色图像增强算法。首先引入新传递函数改进传统同态滤波,然后,在RGB色彩空间上,分别对R、G、B分量用改进的同态滤波和对比度受限自适应直方图均衡(CLAHE)进行增强。接着,转换到HSV色彩空间,用非线性函数对亮度进行光照补偿,对饱和度进行1.5倍拉伸。最后恢复图像色彩信息。实验结果表明,新算法在保持图像细节的同时能够增强图像对比度,使图像清晰度更高。

In order to solve the problem of fuzzy and low brightness in color image,a new color image enhancement algorithm is proposed.First,a new transfer function is introduced to improve the traditional filtering. Then,in the RGB color space,the R,B and G components are enhanced by using the improved algorithm of the improved filtering algorithm and the adaptive histogram equalization algorithm（CLAHE）. The color space is converted to HSV, and the brightness is compensated by the nonlinear function,the saturation is drawn out to a intensity level of 1.5 times of the original. Finally,the image color information are restored. Experimental results show that the new algorithm can enhance the image contrast,and make the image more high resolution.