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Volume: 26 | Article ID: art00016
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Reversible Colour Appearance Scales for Describing Saturation, Vividness, Blackness, and Whiteness for Image Enhancement
Yoon Ji Cho
Guihua Cui
Kwanghoon Sohn
  DOI :  10.2352/ISSN.2169-2629.2018.26.91  Published Online :  November 2018
Abstract

New reversible saturation, vividness, blackness and whiteness models were developed based on a visual data. The aim of this study is to develop a model that can be applicable to imaging devices and to enhance the images by controlling one of the scales. It was found that the models gave good predictions with the NCS (Natural Colour System) data. The newly developed models are applicable to colour image evaluation and image enhancement.

Journal Title : Color and Imaging Conference
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/ISSN.2169-2629.2018.26.91
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Yoon Ji Cho, Guihua Cui, Kwanghoon Sohn, "Reversible Colour Appearance Scales for Describing Saturation, Vividness, Blackness, and Whiteness for Image Enhancement"  in Proc. IS&T 26th Color and Imaging Conf.,  2018,  pp 91 - 95,  https://doi.org/10.2352/ISSN.2169-2629.2018.26.91

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Copyright © Society for Imaging Science and Technology 2018
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology
10.2352/ISSN.2169-2629.2018.26.91
2166-9635(20181112)2018:1L.91;1-
s16.phd
/ist/cic/2018/00002018/00000001/art00016
Articles
Reversible Colour Appearance Scales for Describing Saturation, Vividness, Blackness, and Whiteness for Image Enhancement
Ji ChoYoon
CuiGuihua
SohnKwanghoon
12112018
2018
1
91
95
2018
New reversible saturation, vividness, blackness and whiteness models were developed based on a visual data. The aim of this study is to develop a model that can be applicable to imaging devices and to enhance the images by controlling one of the scales. It was found that the models gave good predictions with the NCS (Natural Colour System) data. The newly developed models are applicable to colour image evaluation and image enhancement.