Few tone mapping operators (TMOs) take color management into consideration,limiting compression to luminance values only. This may lead to changes inimage chroma and hues which are typically managed with a post-processing step.However, current post-processing techniques for tone reproduction do notexplicitly consider the target display gamut. Gamut mapping on the other hand,deals with mapping images from one color gamut to another, usually smaller,gamut but has traditionally focused on smaller scale, chromatic changes. Inthis context, we present a novel gamut and tone management framework forcolor-accurate reproduction of high dynamic range (HDR) images, which isconceptually and computationally simple, parameter-free, and compatible withexisting TMOs. In the CIE LCh color space, we compress chroma to fit the gamutof the output color space. This prevents hue and luminance shifts while takinggamut boundaries into consideration. We also propose a compatible lightnesscompression scheme that minimizes the number of color space conversions. Ourresults show that our gamut management method effectively compresses the chromaof tone mapped images, respecting the target gamut and without reducing imagequality.
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