Due to the large differences in dynamic range of different color devices and due to the normalizing adaptation in the eye, little success can be achieved by gamut mapping schemes that attempt to match tristimulus values. Use of uniform color spaces that incorporate some white point scaling in the specification of colors mitigates the problem of normalization to a limited extent. However, naive schemes that map outof-gamut colors to the nearest color in a uniform color space or scale the entire image colors to lie within the gamut are also unsatisfactory in most cases. A robust and universal gamut mapping strategy remains an elusive goal. However, several researchers have reported encouraging results from experiments with different gamut mapping strategies. The more successful approaches tend to use uniform color spaces or color appearance models and manipulate color **data** using perceptual attributes of lightness, hue, and chroma in an attempt to preserve the more important attributes.