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Volume: 9 | Article ID: art00011
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Compact Description of 3D Image Gamut by Singular Value Decomposition
Hiroaki Kotera
Ryoichi Saito
  DOI :  10.2352/CIC.2001.9.1.art00011  Published Online :  January 2001
Abstract

This paper proposes a compact description method for image gamut shell. 3D I- DGM. (Image-to-Device Gamut Mapping Algorithm) is an ideal way to map the display image to the inside of printer gamut. I- DGM makes use of the relation between image and device gamut boundaries. The gamut shape data should be described in a compact format. In our proposal, it is given by a 2D array called rimage, which is measured as the maximum radius distance in polar angle. The r-image is compressed by SVD and the image gamut shell is reconstructed from the compact SVD parameters and used for I-D mapping.

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.2001.9.1.art00011
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Hiroaki Kotera, Ryoichi Saito, "Compact Description of 3D Image Gamut by Singular Value Decomposition"  in Proc. IS&T 9th Color and Imaging Conf.,  2001,  pp 56 - 61,  https://doi.org/10.2352/CIC.2001.9.1.art00011

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Copyright © Society for Imaging Science and Technology 2001
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(20010101)2001:1L.56;1-
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Articles
Compact Description of 3D Image Gamut by Singular Value Decomposition
KoteraHiroaki
SaitoRyoichi
01012001
2001
1
56
61
2001
This paper proposes a compact description method for image gamut shell. 3D I- DGM. (Image-to-Device Gamut Mapping Algorithm) is an ideal way to map the display image to the inside of printer gamut. I- DGM makes use of the relation between image and device gamut boundaries. The gamut shape data should be described in a compact format. In our proposal, it is given by a 2D array called rimage, which is measured as the maximum radius distance in polar angle. The r-image is compressed by SVD and the image gamut shell is reconstructed from the compact SVD parameters and used for I-D mapping.