Gamut mapping for visual attention retargeting

Vazquez-Corral, Javier; Bertalmío, Marcelo

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dc.contributor.author	Vazquez-Corral, Javier
dc.contributor.author	Bertalmío, Marcelo
dc.date.accessioned	2020-02-07T17:17:32Z
dc.date.available	2020-02-07T17:17:32Z
dc.date.issued	2017
dc.identifier.citation	Vazquez-Corral J, Bertalmío M. Gamut mapping for visual attention retargeting. Color and Imaging Conference. 2017 Sep;2017(25):313-6.
dc.identifier.issn	2166-9635
dc.identifier.uri	http://hdl.handle.net/10230/43526
dc.description.abstract	Visual attention retargeting attempts to modify an image such that the viewer’s attention is directed to specific regions. Goals include highlighting a particular object or hiding possible problems in the image. In this work, we show that we can pose the visual retargeting problem in terms of gamut mapping. In short, visual attention retargeting can be achieved by performing gamut extension in those regions that we want to highlight and gamut reduction in the other regions.
dc.description.sponsorship	Authors are supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government FEDER Fund, grant ref. TIN2015-71537-P(MINECO/FEDER,UE), and by the Icrea Academia Award. The work of J. Vazquez-Corral was supported by the Spanish government under Grant IJCI-2014- 19516.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	Society for Imaging Science and Technology
dc.relation.ispartof	Color and Imaging Conference. 2017 Sep;2017(25):313-6.
dc.rights	© 2017 Society for Imaging Science and Technology. Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of, “CIC25: Twenty-fifth Color and Imaging Conference 2017".
dc.title	Gamut mapping for visual attention retargeting
dc.type	info:eu-repo/semantics/article
dc.subject.keyword	Gamut mapping algorithms
dc.subject.keyword	Color correction
dc.subject.keyword	Gamut mapping for cinema
dc.subject.keyword	Wide color gamut imaging
dc.subject.keyword	Vision models for color and contrast
dc.relation.projectID	info:eu-repo/grantAgreement/EC/FP7/306337
dc.relation.projectID	info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/publishedVersion