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Volume: 15 | Article ID: art00090_1
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Adaptive Gamut Mapping Method Based on Image-to-Device
Chen Hung-Shing
Minoru Omamiuda
Hiroaki Kotera
  DOI :  10.2352/ISSN.2169-4451.1999.15.1.art00090_1  Published Online :  January 1999
Abstract

This paper describes Gamma-Compression Gamut Mapping Algorithm based on the concept of Image-to-Device. Considering the relations of color gamut boundaries between the devices (such as printers, displays) and image source, the proposed method adjusts the distribution of image colors fitting to the output device gamut. The mapping algorithm is applied to adjust the distribution of image colors on Chroma-Lightness planes after 6 main hue leaves are divided.During the psychopsysical experiments in which the proposed method is compared with the conventional Device-to-Device methods, the proposed method works better for color appearance matching between the test image on CRT screen calibrated with sRGB standard and printed hardcopy image after mapping.

Journal Title : NIP & Digital Fabrication Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/ISSN.2169-4451.1999.15.1.art00090_1
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  Cite this article 

Chen Hung-Shing, Minoru Omamiuda, Hiroaki Kotera, "Adaptive Gamut Mapping Method Based on Image-to-Device"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP15),  1999,  pp 346 - 349,  https://doi.org/10.2352/ISSN.2169-4451.1999.15.1.art00090_1

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Copyright © Society for Imaging Science and Technology 1999
72010410
NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(19990101)1999:1L.346;1-
nip_v1999n1/splitsection90.xml
/ist/nipdf/1999/00001999/00000001/art00090
Articles
Adaptive Gamut Mapping Method Based on Image-to-Device
Hung-ShingChen
OmamiudaMinoru
KoteraHiroaki
01011999
1999
1
346
349
1999
This paper describes Gamma-Compression Gamut Mapping Algorithm based on the concept of Image-to-Device. Considering the relations of color gamut boundaries between the devices (such as printers, displays) and image source, the proposed method adjusts the distribution of image colors fitting to the output device gamut. The mapping algorithm is applied to adjust the distribution of image colors on Chroma-Lightness planes after 6 main hue leaves are divided.During the psychopsysical experiments in which the proposed method is compared with the conventional Device-to-Device methods, the proposed method works better for color appearance matching between the test image on CRT screen calibrated with sRGB standard and printed hardcopy image after mapping.