Paper
16 January 2006 A framework for image-dependent gamut mapping
Joachim Giesen, Eva Schuberth, Klaus Simon, Daniel Zeiter, Peter Zolliker
Author Affiliations +
Proceedings Volume 6058, Color Imaging XI: Processing, Hardcopy, and Applications; 605805 (2006) https://doi.org/10.1117/12.640910
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
We treat image-to-device gamut mapping as a multi-criteria optimization problem. Our approach leads to a parameterized mathematical optimization problem that allows to constrain the degree to which objectives like contrast preservation, hue preservation, saturation preservation and the continuity of the mapping can be violated while maximizing the device gamut exploitation. We demonstrate the feasibility of our approach on several benchmark image- and device gamuts.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joachim Giesen, Eva Schuberth, Klaus Simon, Daniel Zeiter, and Peter Zolliker "A framework for image-dependent gamut mapping", Proc. SPIE 6058, Color Imaging XI: Processing, Hardcopy, and Applications, 605805 (16 January 2006); https://doi.org/10.1117/12.640910
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Optimization (mathematics)

Clouds

Stars

Detection and tracking algorithms

Associative arrays

Distance measurement

Inkjet technology

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