图象增强技术主要是通过调整图象的参数来改善图象质量，以获得更佳的视觉效果．为了获得色彩更加鲜艳，细节更加清晰的彩色图象，因而根据人眼视觉对亮度和颜色不同的敏感特性，按照视觉心理选择了HSV彩色空间，并在此空间中，提出了一种基于小波变换的彩色图象增强算法．该算法首先进行了自适应亮度动态调节，同时对图象的饱和度分量也进行了处理．实验证明，和目前存在的灰度图象增强算法相比，用该算法增强后的彩色图象不仅更加清晰，同时更加生动，鲜艳，达到了预期的目的．

Image enhancement techniques are used to process an image so that the final results are more suitable than the original image for human perceptual. Based on the analysis of color space and color components, we present a novel algorithm based on wavelet decomposition for color image enhancement. The perceptual color space HSV (Hue-Saturation-Value) is chosen according to human visual properties, in this color space, a hybrid contrast enhancement algorithm for color image, which used to adjust the luminance of image adaptively, in step of what follows, the saturation component of the image is stretching too. Color image enhancement exists two goals: image naturally and looking vividly as well as the distinguished details. Compared with other enhancement methods, experimental results confirm that our method improves color image quality from details as well as color components.