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Open Access Colour gamut mapping using vividness scale

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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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Keywords: Gamut Mapping; High Dynamic Range; Uniform Color Spaces; Wide Color Gamut

Document Type: Research Article

Publication date: January 13, 2019

This article was made available online on January 13, 2019 as a Fast Track article with title: "Colour gamut mapping using vividness scale".

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