Three-Dimensional Color Gamut Visualization of Digital Output Device Based on ICC Profile

Yun Hui Luo; Mao Hai Lin

doi:10.4028/www.scientific.net/AMM.262.36

Paper Titles

Analysis on Color-Distinguishing Threshold of Printed Samples and Chromatic Characteristics of Human Eyes
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Research on the Imaging Mechanism of Additive Color of Fluorescent Ink-Jet Ink
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Application Research on Image Color Gamut Visualization Using Volume Rendering Method
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A Graphic/Picture Classification Method Based on Spatial Characteristics of Colors
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Three-Dimensional Color Gamut Visualization of Digital Output Device Based on ICC Profile
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Effective Dot Area’s Calculating Based on YNSN Model
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The Research on Color Characteristics of Four Mainstream Monitor
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Research on Application of iCAM in Printing Image Reproduction
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Research on Reconstruction of Spectral Reflectance Based on Principal Component Analysis
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 262Three-Dimensional Color Gamut Visualization of...

Three-Dimensional Color Gamut Visualization of Digital Output Device Based on ICC Profile

Abstract:

As color gamut of digital output device greatly affects image appearance, accurate and effective gamut description for output device is intensively required for developing high-quality image reproduction technique based on gamut mapping. In this paper, we present a novel method to determine color gamut of output device by using a specific 3D reconstruction technology and device ICC profile. First, we populate the device color space by uniform sampling in the RGB 3-Dimensional space, and convert these sampling points to CMYK color space. Then, we work out the CIE LAB value of these points according to the ICC profile of output device. At last, in CIE LAB color space the boundary of these points is determined by using a gamut boundary descriptor based on Ball-Pivoting Algorithm (BPA) proposed by Bernardini. Compared with the results generated by ICC3D, our proposed method can compute device gamut more efficiently and at the same time give a more accurate gamut description of the output device. It will be help to develop effective gamut mapping algorithms for color reproduction.

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Periodical:

Applied Mechanics and Materials (Volume 262)

Pages:

36-39

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.262.36

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Online since:

December 2012

Authors:

Yun Hui Luo, Mao Hai Lin

Keywords:

3D Reconstruction, Ball-Pivoting Algorithm (BPA), Device Gamut, ICC Profile

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