Open AccessTesting uniform colour spaces using colour differences of a wide colour gamut
Author(s) -
Qinghua Xu,
Baiyue Zhao,
Guihua Cui,
Ming Ronnier Luo
Publication year - 2021
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.413985
Subject(s) - gamut , color difference , mathematics , artificial intelligence , ellipse , optics , parametric statistics , colour difference , color space , set (abstract data type) , lightness , computer science , pattern recognition (psychology) , statistics , computer vision , physics , geometry , image (mathematics) , enhanced data rates for gsm evolution , programming language
An experimental dataset, WCG, was assembled. The set includes 416 pairs of samples that surround 28 colour centres and covers a wide colour gamut. The data were used to test the performance of seven colour-difference models, CIELAB, CIEDE2000, CAM16-UCS, DIN99d, OSAGP, and ICTCP, Jzazbz. Colour discrimination ellipses were also fitted to compare the uniformity of the colour spaces. Different versions of the models were derived to improve the fit to the data, including parametric factors, kL, kC, and a power factor. It was found that the kL optimised CAM16-UCS, DIN99d, OSAGP models significantly outperformed the other colour models. In addition, the magnitude of the colour difference had an impact on visual assessment.