A general framework for adaptive gamut mapping is presented in which the image is first decomposed in two bands, one containing the local means, the other the local variations. Two spatial and color adaptive gamut mapping algorithms are introduced. Based on spatial color bilateral filtering, they take into account the color properties of the neighborhood of each pixel. Their goal is to preserve both the color values of the pixels and their relations between neighbors.