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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
  DOI :  10.2352/ISSN.2169-4451.2000.16.1.art00091_2  Published OnlineJanuary 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.

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Chen Hung-Shing, Hiroaki Kotera, "Three-dimensional Gamut Mapping Method Based on the Concept of Image-dependencein 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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