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Volume: 19 | Article ID: art00024
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Image Fusion for optimizing Gamut Mapping
  DOI :  10.2352/CIC.2011.19.1.art00024  Published OnlineJanuary 2011
Abstract

In this paper we study a local, image dependent approach to the gamut mapping problem. A structural image quality measure is used to pick an optimal mapping algorithm for image patches from a given class of algorithms. The optimally mapped patches are then fused into a single mapping of the image. We discuss and compare two image fusion methods that are designed to avoid artifacts in the fused image. Psycho-visual experiments confirm that this approach has a good potential to obtain mapped images with higher perceived quality than any of the individual algorithms, on which the method is based.

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Peter Zolliker, Zofia Barańczuk, Joachim Giesen, "Image Fusion for optimizing Gamut Mappingin Proc. IS&T 19th Color and Imaging Conf.,  2011,  pp 109 - 114,  https://doi.org/10.2352/CIC.2011.19.1.art00024

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