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'.
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