  Few tone mapping operators (TMOs) take color management into consideration,
limiting compression to luminance values only. This may lead to changes in
image chroma and hues which are typically managed with a post-processing step.
However, current post-processing techniques for tone reproduction do not
explicitly 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. In
this context, we present a novel gamut and tone management framework for
color-accurate reproduction of high dynamic range (HDR) images, which is
conceptually and computationally simple, parameter-free, and compatible with
existing TMOs. In the CIE LCh color space, we compress chroma to fit the gamut
of the output color space. This prevents hue and luminance shifts while taking
gamut boundaries into consideration. We also propose a compatible lightness
compression scheme that minimizes the number of color space conversions. Our
results show that our gamut management method effectively compresses the chroma
of tone mapped images, respecting the target gamut and without reducing image
quality.
