A spatial gamut mapping technique is proposed to overcome the shortcomings encountered with standard pointwise gamut mapping algorithms by preserving spatially local luminance variations in the original image. It does so by first processing the image through a standard pointwise gamut-mapping algorithm. The difference between the original image luminance Y and gamut mapped image luminance Y' is calculated. A spatial filter is then applied to this difference signal, whose output is added back to the gamut mapped signal Y'. The filtering operation can cause some pixel colors that lie near the gamut boundary to be moved outside of the gamut, hence a second gamut mapping step is required to move these pixel colors back into the gamut. Finally, all pixels are processed through a color correction function for the output device, and rendered for that device. The algorithm is designed to reduce many of the artifacts arising from standard pointwise techniques. Psychophysical experiments indicated an observer preference for the proposed algorithm.