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Volume: 31 | Article ID: art00004
Colour gamut mapping using vividness scale
  DOI :  10.2352/ISSN.2470-1173.2019.14.COLOR-079  Published OnlineJanuary 2019

A gamut compression algorithm (GCA) and a gamut extension algorithm (GEA) were proposed based on the concept of vividness. Their performance was further investigated via two psychological experiments together with some other commonly used gamut mapping algorithms (GMAs). In addition, difference uniform colour spaces (UCSs) were also evaluated in the experiments including CIELAB, CAM02-UCS and a newly proposed UCS, Jzazbz. Present results showed that the new GCA and GEA outperformed all the other GMAs and the Jzazbz was a promising UCS in the field of gamut mapping.

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Baiyue Zhao, Lihao Xu, Ming Ronnier Luo, "Colour gamut mapping using vividness scalein Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications,  2019,  pp 79-1 - 79-7,

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