Multi-scale Color Image Enhancement Algorithm Based on Human Visual System (HVS)
基于人眼视觉特性的多尺度彩色图象增强算法

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.