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Modeling the distribution of patches with shift-invariance: application to SAR image restoration

hal.structure.identifierTSI-TII radar
dc.contributor.authorTABTI, Sonia
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
hal.structure.identifierLaboratoire Hubert Curien [LabHC]
dc.contributor.authorDENIS, Loïc
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
hal.structure.identifierTélécom ParisTech
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:22:37Z
dc.date.available2024-04-04T03:22:37Z
dc.date.created2014-06-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194772
dc.description.abstractEnPatches have proven to be very effective features to model natural images and to design image restoration methods. Given the huge diversity of patches found in images, modeling the distribution of patches is a difficult task. Rather than attempting to accurately model all patches of the image, we advocate that it is sufficient that all pixels of the image belong to at least one well-explained patch. An image is thus described as a tiling of patches that have large prior probability. In contrast to most patch-based approaches, we do not process the image in patch space, and consider instead that patches should match well everywhere where they overlap. In-order to apply this modeling to the restoration of SAR images, we define a suitable data-fitting term to account for the statistical distribution of speckle. Restoration results are competitive with state-of-the art SAR despeckling methods.
dc.language.isoen
dc.subjectSAR images
dc.subjectgaussian mixture models
dc.subjectpatches
dc.subjectdespeckling
dc.title.enModeling the distribution of patches with shift-invariance: application to SAR image restoration
dc.typeDocument de travail - Pré-publication
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-01006733
hal.version1
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01006733v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=TABTI,%20Sonia&DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&rft.genre=preprint


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