Adaptive 3D gamut mapping based on color distribution of image

Gamut Mapping between display and print images is a most typical application. Current gamut mapping algorithm (GMA) is mostly addressed to compress the out-of-gamut colors into the inside of printer gamut. Indeed, the highly saturated gamut images such as CG images on monitor are necessary to be compressed to make the appearance matching to print. However, the printer gamut has been much expanded with the improvements in printing media and devices. Hence, source image doesn't always fill the entire device gamut, and sometimes its' gamut need to be enlarged to get the better color renditions. This paper proposes an advanced GMA designed to work dependent on the image color distributions. The proposed GMA includes two types of mappings, one for compression and other for expansion of the image gamut. A quick decision whether image is compressed or expanded, is decided using both printer and image gamut.