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Volume: 16 | Article ID: art00091_2
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Three-dimensional Gamut Mapping Method Based on the Concept of Image-dependence
Chen Hung-Shing
Hiroaki Kotera
  DOI :  10.2352/ISSN.2169-4451.2000.16.1.art00091_2  Published Online :  January 2000
Abstract

Three-dimensional (3D) Gamma-Compression Gamut Mapping Algorithm (GMA) is proposed. Currently Gamma-Compression GMA has been designed to work in two-dimensional (2D) Lightness-Chroma planes segmented by primary and secondary color hues. The advanced 3D GMA is expected to work without color segmentation.This paper describes a 3D GMA based on the concept of Image-to-Device (I-D). Considering the color gamuts' relations between the devices (i.e. printers, monitors) and source image, the Gamma-Compression GMA is applied to the 3D shell shapes in CIEL*a*b* space. 3D shell shapes of devices and image source are formed by connecting the edgy color points located at their gamut surfaces. The surface polygons are built up from these most outside color points, and true seamless 3D mapping is performed.

Journal Title : NIP & Digital Fabrication 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/ISSN.2169-4451.2000.16.1.art00091_2
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Chen Hung-Shing, Hiroaki Kotera, "Three-dimensional Gamut Mapping Method Based on the Concept of Image-dependence"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP16),  2000,  pp 783 - 786,  https://doi.org/10.2352/ISSN.2169-4451.2000.16.1.art00091_2

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Copyright © Society for Imaging Science and Technology 2000
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NIP & Digital Fabrication Conference
nip digi fabric conf
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Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(20000101)2000:2L.783;1-
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Articles
Three-dimensional Gamut Mapping Method Based on the Concept of Image-dependence
Hung-ShingChen
KoteraHiroaki
01012000
2000
2
783
786
2000
Three-dimensional (3D) Gamma-Compression Gamut Mapping Algorithm (GMA) is proposed. Currently Gamma-Compression GMA has been designed to work in two-dimensional (2D) Lightness-Chroma planes segmented by primary and secondary color hues. The advanced 3D GMA is expected to work without color segmentation.This paper describes a 3D GMA based on the concept of Image-to-Device (I-D). Considering the color gamuts' relations between the devices (i.e. printers, monitors) and source image, the Gamma-Compression GMA is applied to the 3D shell shapes in CIEL*a*b* space. 3D shell shapes of devices and image source are formed by connecting the edgy color points located at their gamut surfaces. The surface polygons are built up from these most outside color points, and true seamless 3D mapping is performed.