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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorPIERRE, Fabien
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBUGEAU, Aurélie
hal.structure.identifierUniversity of Kaiserslautern [Kaiserslautern]
dc.contributor.authorSTEIDL, Gabriele
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorTA, Vinh-Thong
dc.date.accessioned2024-04-04T03:14:46Z
dc.date.available2024-04-04T03:14:46Z
dc.date.created2016
dc.date.issued2016
dc.date.conference2016-06-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194090
dc.description.abstractEnThis paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. The user is enabled to intuitively control the level of the contrast as well as the scale of the enhanced details. Moreover, our model avoids large modifications of the original image his-togram and thereby preserves the global illumination of the scene. The minimizer of the proposed functional is computed by a hybrid primal-dual algorithm. Numerical experiments show the reliability of the proposed approach in comparison with state-of-the-art methods.
dc.language.isoen
dc.source.titleInternationnal Conference on Image Processing (ICIP)
dc.subject.enContrast enhancement
dc.subject.envariational methods
dc.subject.encolor correction
dc.title.enHUE-PRESERVING PERCEPTUAL CONTRAST ENHANCEMENT
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternationnal Conference on Image Processing (ICIP)
bordeaux.countryUS
bordeaux.title.proceedingInternationnal Conference on Image Processing (ICIP)
bordeaux.conference.cityPhoenix
bordeaux.peerReviewedoui
hal.identifierhal-01316432
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2016-09-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01316432v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Internationnal%20Conference%20on%20Image%20Processing%20(ICIP)&rft.date=2016&rft.au=PIERRE,%20Fabien&AUJOL,%20Jean-Fran%C3%A7ois&BUGEAU,%20Aur%C3%A9lie&STEIDL,%20Gabriele&TA,%20Vinh-Thong&rft.genre=unknown


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