Open AccessColor gamut mapping between small and large color gamuts: part II gamut extension
Author(s) -
Liqun Xu,
Baiyue Zhao,
M. Ronnier Luo
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.017335
Subject(s) - gamut , color space , computer science , computer vision , color rendering index , artificial intelligence , computer graphics (images) , color difference , rgb color space , rendering (computer graphics) , icc profile , color image , image processing , optics , color model , image (mathematics) , physics , white light , filter (signal processing)
A wide color gamut (WCG) display has great color rendering capability and offers the opportunity to achieve a pleasing and realistic appearance in terms of image quality. To take full advantage of the large display gamut, a new gamut extension algorithm (GEA) is proposed based on a new color appearance scale, vividness. The performance of the new GEA was investigated via a psychophysical experiment together with five commonly used GEAs. In addition, two different uniform color spaces (UCSs) were also studied including the CAM02-UCS color space and a space, J z a z b z , designed for high dynamic range (HDR) and WCG applications. The results showed that the newly proposed GEA, i.e. the vividness-extension (VE) algorithm, outperformed all the other GEAs and the J z a z b z space was a promising UCS for evaluating gamut extension.