在光线环境较差的情况下，现有的静态摄影和视频系统的应用受到很大的限制，尤其是在雨天、大雾天气、黑夜、浓烟中等。这些环境严重影响了图像系统的适用范围和拍摄效果。本文以效果差的图像为研究对象，提出了一个以Retinex中心环绕算法为核心的彩色图像处理模型，模型中包含了边缘检测算法、基于边缘的Retinex中心环绕算法、动态压缩处理算法。由于采用基于边缘的Retinex中心环绕算法，处理效果比原始的Retinex算法效果有所改进，消除了一般的Retinex产生的光晕现象;线性动态压缩和非线性动态压缩都有它们的适用范围，而本文的动态压缩算法中有机融合了线性和非线性压缩算法，提高了整个模型的适用性。

Current still image and video systems are of limited use in poor illumination conditions, especially in rain,fog，haze,and smoke.These conditions severely limit the range and effectiveness of imaging systems. This paper proposes a new model based on Retinex center-surround algorithm to process color image. This model includes edge-detection algorithm, Retinex center-surround algorithm based on edge and range compression algorithm. Because the Retinex algorithm in this paper is based on ｅdge,halo caused by other common Retinex algorithm is weakened; and the range compression algorithm promoted in this paper combines linear compression and non-linear compression properly both of which are in limited use which extends the model’s applicable scope.