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