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Spectral Gamut Mapping Framework based on Human Color Vision

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A new spectral gamut mapping framework is presented. It adjusts the reproduction, choosing spectra within the printer's gamut that satisfy colorimetric criteria across a hierarchical set of illuminants. For the most important illuminant a traditional gamut mapping is performed and for each additional considered illuminant colors are mapped into device and pixel dependent metamer mismatch gamuts. A computational separation method is proposed in order to test the framework. Utilizing this separation method on a seven channel printing system, experiments allowed a deeper view on the structure of the device and pixel dependent metamer mismatch gamuts and the possible directions in color space in which a potential metameric gamut mapping transformation could map out-of-metameric-gamut colors.
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Document Type: Research Article

Publication date: January 1, 2008

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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