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5.1: A Gamut Mapping Algorithm Based on Partition Mapping Method
Author(s) -
Rao Yang,
Pu Yiying,
Syu Shen-Sian,
Jou Ming-Jong
Publication year - 2018
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.12632
Subject(s) - gamut , partition (number theory) , lightness , similarity (geometry) , computer science , artificial intelligence , variation (astronomy) , algorithm , mathematics , pattern recognition (psychology) , computer vision , image (mathematics) , combinatorics , physics , astrophysics
In this paper, a new partition mapping method is adopted in gamut mapping algorithms (GMAs). It takes both color difference (ΔE) and details into account. Meanwhile, lightness variation is regarded more important than ΔE in low lightness area. Subjective experiment shows that observers prefer proposed method than HPMINDE or SGCK in aspect of similarity to original images.