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Proceedings Paper

Toward image-dependent gamut mapping: fast and accurate gamut boundary determination
Author(s): Joachim Giesen; Eva Schuberth; Klaus Simon; Peter Zolliker
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Paper Abstract

We present a new method for the computation of both, image and device gamut boundaries. The method has been designed to bypass the quality vs. time trade off that one usually faces when computing gamut boundaries. This trade off is between the geometric accuracy of the boundary and the time it takes to compute it. Our method is geometrically accurate in the sense that the computed gamut boundary tightly encloses the color points that make up the gamut. At the same time it is fast compared to other methods. Thus it can be used in an image-dependent gamut mapping approach. The underlying concept of the presented method is a data structure that we call discrete flow complex which is derived from the discrete distance function to the color points. We have implemented the method and tested it with a suite of test images. Our experimental results show that the method is in fact fast and geometrically accurate. In the future we plan to use the gamut boundaries computed by our method for fast, high-quality, image-dependent gamut mapping in three dimensions.

Paper Details

Date Published: 17 January 2005
PDF: 10 pages
Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); doi: 10.1117/12.585812
Show Author Affiliations
Joachim Giesen, Swiss Federal Institute of Technology Zurich (Switzerland)
Eva Schuberth, Swiss Federal Institute of Technology Zurich (Switzerland)
EMPA Materials Science and Technology (Switzerland)
Klaus Simon, EMPA Materials Science and Technology (Switzerland)
Peter Zolliker, EMPA Materials Science and Technology (Switzerland)


Published in SPIE Proceedings Vol. 5667:
Color Imaging X: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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