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.
Baekdu Choi, Sige Hu, Rain Guo, White He, Davi He, George T.C. Chiu, Jan P. Allebach, "Developing a gamut mapping method for a novel inkjet printer" in Electronic Imaging, 2022, pp 284-1 - 284-6, https://doi.org/10.2352/EI.2022.34.15.COLOR-284