17 January 2005 Toward image-dependent gamut mapping: fast and accurate gamut boundary determination
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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.
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Joachim Giesen, Joachim Giesen, Eva Schuberth, Eva Schuberth, Klaus Simon, Klaus Simon, Peter Zolliker, Peter Zolliker, "Toward image-dependent gamut mapping: fast and accurate gamut boundary determination", Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); doi: 10.1117/12.585812; https://doi.org/10.1117/12.585812


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