Study And Design Of Image-dependent Spatial Gamut Mapping Schemes

To solve the nonlinear problems of high quality color-reproduction among different devices, the gamut mapping is necessary for color management. Gamut mapping deals with the need to adjust a color image from one rendering medium to another small medium to fit into out-put. Most of the classical gamut mapping methods involve a pixel-by-pixel mapping and ignore the spatial color configuration. One of the fundamental motivations of spatial gamut mapping is the need to preserve the edge between two colors. The present spatial-dependent approaches for gamut mapping do not make full use of the spatial character of image. In this paper, after presenting a model of describing image and in-depth analysis of the influence of image-dependent spatial gamut mapping, we present two kinds of spatial character of image, frequency characteristic and distribution character. Finally a new spatial-dependent gamut mapping algorithm is designed and we are also proceed to the psychophysical evaluation of out algorithms by conducting a ranking experiment and demonstrate their advantages.