Cognate Tetrahedral Mapping Algorithm From PRMG to the Target Color Gamut
Laijin Zuo, Yuanlin Zheng, Zeyu Zhou, Bangyong Sun, Rubai Luo, Qing Hao, Junping Dai, Yali LiABSTRACT
In the ICC v4 color management architecture, the gamut mapping algorithm from the Perceptual Reference Medium Gamut (PRMG) to the output medium gamut has not been standardized, resulting in insufficient reproduction performance of the perceptual rendering intent. This paper proposes a gamut mapping algorithm based on the PRMG CIELAB grid. The algorithm constructs the source gamut boundary using the CIELAB grid method and describes the gamut surface via face/vertex encoding. Furthermore, it innovatively adopts cognate tetrahedral mapping to realize the mapping from the PRMG to the output gamut while maintaining consistency with the media‐relative colorimetric intent. In the experiments, the widely used FOGRA39 standard printing characterization data set is employed as the output medium gamut, and the proposed algorithm is compared with existing algorithms such as HPMINDE and SGCK through psychophysical experiments. The psychophysical experiment demonstrates that the proposed algorithm provides more visually pleasing reproductions. Objective evaluation based on the CIEDE2000 metric further shows that the proposed method achieves a favorable balance between color fidelity and perceptual image quality. with favorable pleasantness particularly in the highlight and shadow regions of images. This work provides a feasible solution for the implementation of the perceptual rendering intent in ICC v4 output profiles.