A general framework for adaptive gamut mapping is presented in which a wide range of published spatial gamut mapping algorithms fit. Two new spatial and color adaptive gamut mapping algorithms are then 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. Results of psychophysical experiments confirm the good performance of the proposed algorithms.