Gamut extension for cinema

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  • dc.contributor.author Zamir, Syed Waqasca
  • dc.contributor.author Vazquez-Corral, Javierca
  • dc.contributor.author Bertalmío, Marceloca
  • dc.date.accessioned 2017-06-26T07:28:28Z
  • dc.date.available 2017-06-26T07:28:28Z
  • dc.date.issued 2017
  • dc.description.abstract Emerging display technologies are able to produce images with a much wider color gamut than those of conventional distribution gamuts for cinema and TV, creating an opportunity for the development of gamut extension algorithms (GEAs) that exploit the full color potential of these new systems. In this paper, we present a novel GEA, implemented as a PDE-based optimization procedure related to visual perception models, that performs gamut extension (GE) by taking into account the analysis of distortions in hue, chroma, and saturation. User studies performed using a digital cinema projector under cinematic (low ambient light, large screen) conditions show that the proposed algorithm outperforms the state of the art, producing gamut extended images that are perceptually more faithful to the wide-gamut ground truth, as well as free of color artifacts and hue shifts. We also show how currently available image quality metrics, when applied to the GE problem, provide results that do not correlate with users' choices.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Zamir SW, Vazquez-Corral J, Bertalmío M. Gamut extension for cinema. IEEE Trans Image Process. 2017;26(4):1595-606. DOI: 10.1109/TIP.2017.2661404
  • dc.identifier.doi http://dx.doi.org/10.1109/TIP.2017.2661404
  • dc.identifier.issn 1057-7149
  • dc.identifier.uri http://hdl.handle.net/10230/32456
  • dc.language.iso eng
  • dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
  • dc.relation.ispartof IEEE Trans Image Process. 2017;26(4):1595-606.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
  • dc.rights © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/TIP.2017.2661404
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Gamut mapping (GM)
  • dc.subject.keyword Gamut mapping algorithm (GMA)
  • dc.subject.keyword Gamut extension (GE)
  • dc.subject.keyword Gamut extension algorithm (GEA)
  • dc.subject.keyword Color contrast
  • dc.subject.keyword Color reproduction
  • dc.subject.keyword Variational methods
  • dc.title Gamut extension for cinemaca
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion