Vision models for wide color gamut imaging in cinema

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dc.contributor.author	Zamir, Syed Waqas
dc.contributor.author	Vazquez-Corral, Javier
dc.contributor.author	Bertalmío, Marcelo
dc.date	2019
dc.identifier.citation	Zamir 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.2019.2938499
dc.identifier.citation	https://dx.doi.org/10.1109/TPAMI.2019.2938499
dc.identifier.uri	http://hdl.handle.net/10230/43330
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019 Nov 14. [15 p.]
dc.relation	info:eu-repo/grantAgreement/EC/H2020/761544
dc.relation	info:eu-repo/grantAgreement/EC/H2020/780470
dc.relation	info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
dc.rights	This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Gamut mapping algorithms
dc.subject	Wide gamut imaging
dc.subject	Color reproduction
dc.subject	Vision models for color and contrast
dc.subject	Gamut mappingfor cinema
dc.title	Vision models for wide color gamut imaging in cinema
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/acceptedVersion
dc.description.abstract	Gamut 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.
dc.description.abstract	Thiswork has received funding from the European Union’sHorizon 2020 research and innovation programme undergrant agreement number 761544 (project HDR4EU) andunder grant agreement number 780470 (project SAUCE),and by the Spanish government and FEDER Fund, grantref. TIN2015-71537-P (MINECO/FEDER,UE). The work of J.Vazquez-Corral was supported by the Spanish governmentunder Grant IJCI-2014-19516

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