Zamir, Syed WaqasVazquez-Corral, JavierBertalmÃo, Marcelo2020-01-212020-01-212019Zamir SW, Vazquez-Corral J, Bertalmio M. Vision models for wide color gamut imaging in cinema. IEEE Trans Pattern Anal Mach Intell. 2019 Nov 14. [15 p.]. DOI: 10.1109/TPAMI.2019.2938499http://hdl.handle.net/10230/43330Gamut mapping is the problem of transforming the colors of image or video content so as to fully exploit the color palette ofthe display device where the content will be shown, while preserving the artistic intent of the original content’s creator. In particular in thecinema industry, the rapid advancement in display technologies has created a pressing need to develop automatic and fast gamutmapping algorithms. In this paper we propose a novel framework that is based on vision science models, performs both gamut reductionand gamut extension, is of low computational complexity, produces results that are free from artifacts and outperforms state-of-the-artmethods according to psychophysical tests. Our experiments also highlight the limitations of existing objective metrics for the gamutmapping problem.application/pdfengThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.Vision models for wide color gamut imaging in cinemainfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TPAMI.2019.2938499Gamut mapping algorithmsWide gamut imagingColor reproductionVision models for color and contrastGamut mappingfor cinemainfo:eu-repo/semantics/openAccess