Development and evaluation of a hybrid point-wise gamut mapping framework

For point-wise gamut mapping, the largest challenge is how to preserve both detail and saturation with state of the art gamut mapping algorithms based on the main concepts of gamut clipping or gamut compression. Based on a combination of clipping and compression algorithms, a hybrid point-wise gamut mapping framework is proposed and evaluated in this paper. Using five standard scenes, five combination ratios, our framework based on cusp point is evaluated. According to the subjective experiment results, the trend of accuracy scale and preference scale were indicated first decreasing stage and second increasing stage, and its turning point is mainly 50% ratio scale. Three objective image quality metrics were further used to correlate and analyze the above special phenomenon clearly.