Back to articles
Articles
Volume: 31 | Article ID: art00004
Image
Colour gamut mapping using vividness scale
Baiyue Zhao
Lihao Xu
Ming Ronnier Luo
  DOI :  10.2352/ISSN.2470-1173.2019.14.COLOR-079  Published Online :  January 2019
Abstract

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.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
Views 26
Downloads 2
 DOI 10.2352/ISSN.2470-1173.2019.14.COLOR-079
 articleview.views 26
 articleview.downloads 2
  Cite this article 

Baiyue Zhao, Lihao Xu, Ming Ronnier Luo, "Colour gamut mapping using vividness scale"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications,  2019,  pp 79-1 - 79-7,  https://doi.org/10.2352/ISSN.2470-1173.2019.14.COLOR-079

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2019.14.COLOR-079
2470-1173(20190113)2019:14L.791;1-
ei_24701173_v2019n14_r1/s4.xml
/ist/ei/2019/00002019/00000014/art00004
Articles
Colour gamut mapping using vividness scale
ZhaoBaiyue
XuLihao
LuoMing Ronnier
13012019
2019
14
79-1
79-7
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.
Gamut MappingUniform Color SpacesHigh Dynamic RangeWide Color Gamut