Automatic, fast and perceptually accurate gamut mapping based on vision science models

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• dc.contributor.author Zamir, Syed Waqas
• dc.contributor.author Vazquez-Corral, Javier
• dc.contributor.author Bertalmío, Marcelo
• dc.date.accessioned 2019-05-23T12:48:45Z
• dc.date.available 2019-05-23T12:48:45Z
• dc.date.issued 2017
• dc.description Comunicació presentada a: SMPTE 2017 Annual Technical Conference and Exhibition, celebrat del 23 al 26 d'octubre de 2017 a Los Angeles, Estats Units d'Amèrica.ca
• dc.description.abstract Gamut mapping transforms colors of the original (image or video) content to the color palette of the display device with the simultaneous goals of (a) reproducing content accurately while preserving the artistic intent of the original content’s creator and (b) exploiting the full color rendering potential of the target display device. The rapid advancement in display technologies has created a pressing need to develop automatic and fast gamut mapping algorithms that can deal with imagery intended for both conventional and emerging displays. In this paper, we propose a novel framework based on retinal and color perception models from vision science that offers a functionality to perform both gamut reduction and gamut extension, while preserving hue and taking into account the analysis of the colors of the input image. We evaluate the performance of the proposed framework visually and by using a perceptually-based error metric, according to which the gamut-mapped results of our framework outperform those of the state-of-the-art methods.en
• dc.description.sponsorship This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE), and by the Icrea Academia Award. The work of Javier Vazquez-Corral was supported by the Spanish government grant IJCI-2014-19516.
• dc.format.mimetype application/pdf
• dc.identifier.citation Zamir SW, Vazquez-Corral J, Bertalmío M. Automatic, fast and perceptually accurate gamut mapping based on vision science models. In: SMPTE 2017 Annual Technical Conference and Exhibition; 2017 Oct 23-26; Los Angeles, USA. New York: Society of Motion Picture & Television Engineers (SMPTE); 2017. [14] p. DOI: 10.5594/M001806
• dc.identifier.doi http://dx.doi.org/10.5594/M001806
• dc.identifier.uri http://hdl.handle.net/10230/37278
• dc.language.iso eng
• dc.publisher Society of Motion Picture & Television Engineers (SMPTE)
• dc.relation.ispartof SMPTE 2017 Annual Technical Conference and Exhibition; 2017 Oct 23-26; Los Angeles, USA. New York: Society of Motion Picture & Television Engineers (SMPTE); 2017. [14] p.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
• dc.rights © Society of Motion Picture & Television Engineers (SMPTE)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Gamut mappingen
• dc.subject.keyword Wide color gamuten
• dc.subject.keyword Color reproductionen
• dc.subject.keyword Gamut mapping algorithmsen
• dc.title Automatic, fast and perceptually accurate gamut mapping based on vision science models
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion