A Spatial Gamut Mapping Algorithm Based on Bilateral Filter

摘要

A spatial Gamut Mapping Algorithm (GMA) was proposed in order to avoid the detail loss produced by pointwise GMAs. Firstly, the bilateral filter was employed to decompose the original image into a base layer image (containing image-edge information) and a detail layer image (containingimage-texture information). Then the base layer image was gamut-clipped by the pointwise GMA that emphasizes chroma over luminance preservation. After the first gamut mapping process, the detail layer was added to the gamut-clipped base layer image. Finally, the merged image was gamut-clippedagain by another pointwise GMA that emphasizes luminance over chroma preservation to get the final gamut-mapped image. The influences of different bilateral filter parameters on gamut mapping results and halo-artifacts were analyzed. The psychophysical experimental results show that the proposedspatial GMA with proper bilateral filter parameters performs significantly better than standard pointwise GMAs and has almost same performance as another classical spatial GMA. In addition, the proposed spatial GMA can reduce the halo-artifacts much more effectively.