Back to articles
Articles
Volume: 4 | Article ID: art00018
Image
Color Gamut Mapping by Optimizing Perceptual Image Quality
Shigeki Nakauchi
Masahiro Imamura
Shiro Usui
  DOI :  10.2352/CIC.1996.4.1.art00018  Published Online :  January 1996
Abstract

This paper describes color gamut mapping technique as an optimization problem for finding an image which is perceptually closest to the original one among the images which only contain reproducible colors for the destination device. Perceptual difference between images is defined as a color difference of band-pass-filtered images rather than simple summation of ΔE of each pixel within the image.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
Views 8
Downloads 0
 DOI 10.2352/CIC.1996.4.1.art00018
 articleview.views 8
 articleview.downloads 0
  Cite this article 

Shigeki Nakauchi, Masahiro Imamura, Shiro Usui, "Color Gamut Mapping by Optimizing Perceptual Image Quality"  in Proc. IS&T 4th Color and Imaging Conf.,  1996,  pp 63 - 66,  https://doi.org/10.2352/CIC.1996.4.1.art00018

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 1996
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(19960101)1996:1L.63;1-
cic_v1996n1/splitsection19.xml
/ist/cic/1996/00001996/00000001/art00018
Articles
Color Gamut Mapping by Optimizing Perceptual Image Quality
NakauchiShigeki
ImamuraMasahiro
UsuiShiro
01011996
1996
1
63
66
1996
This paper describes color gamut mapping technique as an optimization problem for finding an image which is perceptually closest to the original one among the images which only contain reproducible colors for the destination device. Perceptual difference between images is defined as a color difference of band-pass-filtered images rather than simple summation of ΔE of each pixel within the image.