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Volume: 29 | Article ID: art00013
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Image Enhancement for Colour Deficiency via Gamut Mapping
Xu Lihao
Xu Qiang
Ming Ronnier Luo
  DOI :  10.2352/issn.2169-2629.2021.29.71  Published Online :  November 2021
Abstract

This paper describes a colour image enhancement method for those having colour-vision deficiencies. The proposed method can be divided into 3 stages. Firstly, a conversion relation between the wavelength shift (measured in nanometers) of a colour deficient observer (CDO) and the severity of colour deficiency was established. Secondly, the perceived colour gamut was built by applying the conversion relation. Finally, the original images were re-coloured by adopting a gamut mapping algorithm to map colours from the gamut of colour normal observer (CNO) to that of a CDO. Psychophysical experiments were then conducted to show the effectiveness of the method.

Journal Title : Color and Imaging Conference
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/issn.2169-2629.2021.29.71
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  Cite this article 

Xu Lihao, Xu Qiang, Ming Ronnier Luo, "Image Enhancement for Colour Deficiency via Gamut Mapping"  in Proc. IS&T 29th Color and Imaging Conf.,  2021,  pp 71 - 76,  https://doi.org/10.2352/issn.2169-2629.2021.29.71

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Copyright © Society for Imaging Science and Technology 2021
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/issn.2169-2629.2021.29.71
2166-9635(20211101)2021:29L.71;1-
cic_21669635_v2021n29_input/s13.xml
/ist/cic/2021/00002021/00000029/art00013
Articles
Image Enhancement for Colour Deficiency via Gamut Mapping
LihaoXu
QiangXu
Ronnier LuoMing
01112021
2021
29
71
76
2021
This paper describes a colour image enhancement method for those having colour-vision deficiencies. The proposed method can be divided into 3 stages. Firstly, a conversion relation between the wavelength shift (measured in nanometers) of a colour deficient observer (CDO) and the severity of colour deficiency was established. Secondly, the perceived colour gamut was built by applying the conversion relation. Finally, the original images were re-coloured by adopting a gamut mapping algorithm to map colours from the gamut of colour normal observer (CNO) to that of a CDO. Psychophysical experiments were then conducted to show the effectiveness of the method.
Image EnhancementColour DeficiencyGamut Mapping