A Spectral Gamut-Mapping Environment with Rendering Parameter Feedback

This paper proposes a prototypical environment for gamut mapping in spectral space. Images are rendered in terms of light and material parameters by a symbolic ray tracer, and the parameter ranges are adjusted, without re-rendering, to bring the image into the output device’s spectral gamut. There is a growing disparity between the high dynamic range images produced by spectral renderers and the limitations of display gamuts and lowdimensional colour management standards. While in rendering tone mapping has helped compress luminance ranges, and in colour science 3D gamut mapping has helped compress chrominance ranges, only high-dimensional spectral methods will fully bridge the gap. This paper’s environment for gamuts in spectral space is a step toward spectral gamut mapping, which we demonstrate by using the ray tracer to predict feasible ranges of rendering parameters for an in-gamut image. The environment can be easily extended to support interactive or automatic image correction, and more sophisticated rendering and gamut-mapping methods of arbitrary dimensionality.