In this paper, we present a computationally-efficient gamut mapping algorithm designed for tone-mapped images, focusing on preserving hue fidelity while providing flexibility to retain either luminance or saturation for visually consistent results. The algorithm operates in both RGB and YUV color spaces, enabling practical implementation in hardware and software for real-time systems. We demonstrate that the proposed method effectively mitigates hue shifts during gamut mapping, offering a computationally viable alternative to more complex methods based on perceptually uniform color spaces.
Gamut mapping algorithms (GMAs) map all the colors within the input image to colors reproducible with a printer. In this paper we discuss a gamut mapping algorithm we’ve developed for a novel inkjet nail printer. The algorithm we used previously for this suffers from visible desaturation since it only exploits the part of the printer gamut that overlaps with the sRGB gamut. To solve this issue, we add a step we call gamut alignment, which enables the printer to fully exploit the entire printer gamut. We show digitally simulated gamut mapped images to illustrate that the proposed GMA indeed produced better saturated gamut mapped images.