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Generic device color gamut description
Author(s) -
Zhao Xianfeng
Publication year - 2007
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.20343
Subject(s) - gamut , rgb color space , color space , rgb color model , computer science , volume (thermodynamics) , interpolation (computer graphics) , computer graphics (images) , representation (politics) , computer vision , artificial intelligence , mathematics , image processing , image (mathematics) , color image , physics , quantum mechanics , politics , political science , law
Abstract This article describes two methods for N ‐dimensional device color gamut representation: one is for gamut surface description, the other for gamut volume description. Both methods combine analytical and geometrical approaches. These methods can be applied to any colorant spaces such as 3‐Dimensional RGB or CMY, 4‐Dimensional CMYK, 6‐Dimensional Hexachrome® (CMYKOG), as well as the 14‐Dimensional PANTONE MATCHING SYSTEM®. The N ‐Dimensional gamut surface description method divides the gamut surface into many subsurfaces with only two‐colorant variables. The gamut volume description first divides the whole gamut volume into 3D cubes without overlaps; then an analytical, geometrical, or interpolation method can be applied to each cube. Finally, all subgamuts are united to create the whole gamut. The analytical approach or interpolation technology is applied into these methods to predict unknown colors. The result is highly accurate with an average error less than 0.11 Δ E in CIEDE2000 for CMYK space and less than 0.56 Δ E in CIEDE2000 for higher dimensions. © 2007 Wiley Periodicals, Inc. Col Res Appl, 32, 394–408, 2007