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dc.contributor.authorHERTRICH, Johannes
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierUbisoft
dc.contributor.authorHOUDARD, Antoine
dc.contributor.authorREDENBACH, Claudia
dc.date.accessioned2024-04-04T02:45:04Z
dc.date.available2024-04-04T02:45:04Z
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191436
dc.description.abstractEnIn this paper, we introduce a Wasserstein patch prior for superresolution of two- and three-dimensional images. Here, we assume that we have given (additionally to the low resolution observation) a reference image which has a similar patch distribution as the ground truth of the reconstruction. This assumption is e.g. fulfilled when working with texture images or material data. Then, the proposed regularizer penalizes the $W_2$-distance of the patch distribution of the reconstruction to the patch distribution of some reference image at different scales. We demonstrate the performance of the proposed regularizer by two- and three-dimensional numerical examples.
dc.description.sponsorshipGeneralized Optimal Transport Models for Image processing - ANR-16-CE33-0010
dc.language.isoen
dc.title.enWasserstein Patch Prior for Image Superresolution
dc.typeDocument de travail - Pré-publication
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.identifier.arxiv2109.12880
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-03381544
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03381544v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=HERTRICH,%20Johannes&HOUDARD,%20Antoine&REDENBACH,%20Claudia&rft.genre=preprint


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