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Volume: 5 | Article ID: art00009
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Gamut Mapping Algorithms Based On Psychophysical Experiment
Ján Morovic
M. Ronnier Luo
  DOI :  10.2352/CIC.1997.5.1.art00009  Published Online :  January 1997
Abstract

The aim of this paper is to describe five gamut mapping algorithms (GMAs) developed on the basis of the results from a psychophysical experiment evaluating eight previously published algorithms. What follows is a description of the colour reproduction system used, the new algorithms developed and the psychophysical experiments conducted for evaluating the new and existing GMAs.The experimental results suggest that the GCUSP and CARISMA algorithms described in this paper perform most reliably for the test images used in this experiment. Furthermore, the results show that four of the new algorithms perform significantly better than the two algorithms used in the previous experiment.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.1997.5.1.art00009
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Ján Morovic, M. Ronnier Luo, "Gamut Mapping Algorithms Based On Psychophysical Experiment"  in Proc. IS&T 5th Color and Imaging Conf.,  1997,  pp 44 - 49,  https://doi.org/10.2352/CIC.1997.5.1.art00009

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Copyright © Society for Imaging Science and Technology 1997
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19970101)1997:1L.44;1-
cic_v1997n1/splitsection9.xml
/ist/cic/1997/00001997/00000001/art00009
Articles
Gamut Mapping Algorithms Based On Psychophysical Experiment
MorovicJán
LuoM. Ronnier
01011997
1997
1
44
49
1997
The aim of this paper is to describe five gamut mapping algorithms (GMAs) developed on the basis of the results from a psychophysical experiment evaluating eight previously published algorithms. What follows is a description of the colour reproduction system used, the new algorithms developed and the psychophysical experiments conducted for evaluating the new and existing GMAs.The experimental results suggest that the GCUSP and CARISMA algorithms described in this paper perform most reliably for the test images used in this experiment. Furthermore, the results show that four of the new algorithms perform significantly better than the two algorithms used in the previous experiment.