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Luminance-Chrominance Model for Image Colorization

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.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPAPADAKIS, Nicolas
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorTA, Vinh-Thong
dc.date.accessioned2024-04-04T03:21:00Z
dc.date.available2024-04-04T03:21:00Z
dc.date.created2014-07-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194630
dc.description.abstractEnThis paper provides a new method to colorize gray-scale images. While the reverse operation is only a matter of standard, the colorization process is an ill-posed problem that requires some priors. In the literature two classes of approach exist. The first class includes manual methods that needs the user to manually add colors on the image to colorize. The second class includes exemplar-based approaches where a color image, with a similar semantic content, is provided as input to the method.These two types of priors have their own advantages and drawbacks. In this paper, a new variational framework for exemplar-based colorization is proposed. A non-local approach is used to find relevant color in the source image in order to suggest colors on the gray-scale image. The spatial coherency of the result as well as the final color selection is provided by a non-convex variational framework based on a total variation. An efficient primal-dual algorithm is provided and a proof of its convergence is proposed. In this work, we also extend the proposed exemplar-based approach to combine both exemplar-based and manual methods. It provides a single framework that unifies advantages of both approaches. Finally, experiments and comparisons with state-of-the-art methods illustrate the efficiency of our method.
dc.language.isoen
dc.typeDocument de travail - Pré-publication
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
hal.identifierhal-01051308
hal.version1
hal.audienceNon spécifiée
dc.title.itLuminance-Chrominance Model for Image Colorization
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01051308v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=PIERRE,%20Fabien&AUJOL,%20Jean-Fran%C3%A7ois&BUGEAU,%20Aur%C3%A9lie&PAPADAKIS,%20Nicolas&TA,%20Vinh-Thong&rft.genre=preprint


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