The human color constancy uses spatial comparisons. The relationships among neighboring pixels are far more important than the absolute differences between the colorimetric values of an original and its gamut-limited reproduction. If all the pixels in an image have a reproduction error in the same direction (red, green, blue, lightness, hue, chroma), then our color constancy mechanism helps to make large errors appear small. However, if all the errors are randomly distributed, then small errors appear large. This paper will describe experiments using constant errors to produce variable apparent errors and describe a technique of calculating the best appearance image using spatial comparisons. This calculation will be applied to color-gamut problems.
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