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Proceedings Paper

A framework for image-dependent gamut mapping
Author(s): Joachim Giesen; Eva Schuberth; Klaus Simon; Daniel Zeiter; Peter Zolliker
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Paper 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.

Paper Details

Date Published: 16 January 2006
PDF: 11 pages
Proc. SPIE 6058, Color Imaging XI: Processing, Hardcopy, and Applications, 605805 (16 January 2006); doi: 10.1117/12.640910
Show Author Affiliations
Joachim Giesen, Swiss Federal Institute of Technology (Switzerland)
Eva Schuberth, Swiss Federal Institute of Technology (Switzerland)
Swiss Federal Labs. for Materials Testing and Research (Switzerland)
Klaus Simon, Swiss Federal Labs. for Materials Testing and Research (Switzerland)
Daniel Zeiter, Swiss Federal Institute of Technology (Switzerland)
Peter Zolliker, Swiss Federal Labs. for Materials Testing and Research (Switzerland)


Published in SPIE Proceedings Vol. 6058:
Color Imaging XI: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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