一种基于累积分布的低照度彩色图像增强算法

A Novel Algorithm Based on Cumulative Distribution for Low Illumination Color Image Enhancement

为了解决低照度环境引起的彩色图像退化问题,提出一种新的彩色图像增强算法。首先在YUV色彩空间下采用彩色双边滤波估计照度分量;然后在提取反射分量时,构造一个与累积分布相关的对比度调节函数,自适应地增强图像的细节信息;最后采用线性彩色恢复算法恢复增强图像的色彩信息。实验结果表明,该算法能够明显地提高低照度彩色图像的整体视觉效果,细节鲜明突出,色彩真实自然。

To resolve the degradation of color images caused by low illumination condition, a novel algorithm to improve the visibility of low illumination color images is proposed. At first, the illumination component is estimated using the color-bilateral filtering in YUV color space. And then, while the reflectance component being calculated, a contrast regulation function based on cumulative distribution is introduced to adaptively emphasize minute features of images. At last, a linear color restoration process is utilized to determine color values of the enhanced image. Experimental results show that the proposed algorithm is more effective and practicable, and the enhanced image can achieve an excellent global visual effect with clear details and natural colors.