Color Gamut Mapping

Gamut mapping algorithms, implemented by color management systems, are an integral part of the color reproduction process. By adjusting the colors with appropriate algorithms, gamut mapping enables original colors to fit inside differently shaped color gamuts and authentically transfers images across a range of media. This book illustrates the range of possible gamut mapping strategies for cross-media color reproduction, evaluates the performance of various options and advises on designing new, improved solutions. Starting with overviews of color science, reproduction and management, the text includes: a detailed survey of 90+ gamut mapping algorithms covering color-by-color reduction and expansion, spatial reduction, spectral reduction and gamut mapping for niche applications; a step-by-step example of a colors journey from original to reproduction, via a digital workflow; a detailed analysis of color gamut computation, including a comparison of alternative techniques and an illustration of the gamuts of salient color sets and media; a presentation of both measurement-based and psychovisual evaluation of individual color reproductions; an overview of alternative approaches to gamut mapping proposed by the ISO and the CIE including an analysis of the building blocks of gamut mapping algorithms and the factors affecting their performance. Color Gamut Mapping is a comprehensive resource for practicing color and imaging engineers, scientists and researchers working in the development of imaging devices, software and solutions. It is also a valuable reference for students of color and imaging science, as well as photographers, graphic designers and artists.

[1]  M. Ronnier Luo,et al.  Calculating medium and image gamut boundaries for gamut mapping , 2000 .

[2]  Mark D. Fairchild,et al.  Finding constant hue surfaces in color space , 1998, Electronic Imaging.

[3]  J. Guild The Colorimetric Properties of the Spectrum , 1932 .

[4]  David Salesin,et al.  Reproducing color images using custom inks , 1998, SIGGRAPH.

[5]  Brian A. Wandell,et al.  Rendering high dynamic range images , 2000, Electronic Imaging.

[6]  Mark D. Fairchild,et al.  Color Gamut Mapping in a Hue-Linearized CIELAB Color Space , 1998, Color Imaging Conference.

[7]  Gustav J. Braun,et al.  A Paradigm for color gamut mapping of pictorial images , 1999 .

[8]  HighWire Press Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.

[9]  Hiroaki Kotera,et al.  Compact Description of 3D Image Gamut by Singular Value Decomposition , 2001, Color Imaging Conference.

[10]  Isaac Amidror,et al.  Scattered data interpolation methods for electronic imaging systems: a survey , 2002, J. Electronic Imaging.

[11]  M. Ronnier Luo,et al.  The Fundamentals of Gamut Mapping: A Survey , 2001, Journal of Imaging Science and Technology.

[12]  S S Stevens,et al.  On the Theory of Scales of Measurement. , 1946, Science.

[13]  R. Berns,et al.  Determination of constant Hue Loci for a CRT gamut and their predictions using color appearance spaces , 1995 .

[14]  Gabriel Marcu Gamut Mapping in Munsell Constant Hue Sections , 1998, Color Imaging Conference.

[15]  H. Barlow Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .

[16]  Robert W. G. Hunt,et al.  Objectives in Colour Reproduction , 1970 .

[17]  David P. Dobkin,et al.  The quickhull algorithm for convex hulls , 1996, TOMS.

[18]  D. Hubel,et al.  Segregation of form, color, movement, and depth: anatomy, physiology, and perception. , 1988, Science.

[19]  David Salesin,et al.  Reproducing color images as duotones , 1996, SIGGRAPH.

[20]  Reiner Eschbach,et al.  Gamut Mapping to Preserve Spatial Luminance Variations , 2000, CIC.