Modeling the distribution of patches with shift-invariance: application to SAR image restoration
hal.structure.identifier | TSI-TII radar | |
dc.contributor.author | TABTI, Sonia | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DELEDALLE, Charles-Alban | |
hal.structure.identifier | Laboratoire Hubert Curien [LabHC] | |
dc.contributor.author | DENIS, Loïc | |
hal.structure.identifier | Laboratoire Traitement et Communication de l'Information [LTCI] | |
hal.structure.identifier | Télécom ParisTech | |
dc.contributor.author | TUPIN, Florence | |
dc.date.accessioned | 2024-04-04T03:22:37Z | |
dc.date.available | 2024-04-04T03:22:37Z | |
dc.date.created | 2014-06-05 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/194772 | |
dc.description.abstractEn | Patches 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.iso | en | |
dc.subject | SAR images | |
dc.subject | gaussian mixture models | |
dc.subject | patches | |
dc.subject | despeckling | |
dc.title.en | Modeling the distribution of patches with shift-invariance: application to SAR image restoration | |
dc.type | Document de travail - Pré-publication | |
dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
hal.identifier | hal-01006733 | |
hal.version | 1 | |
hal.audience | Non spécifiée | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01006733v1 | |
bordeaux.COinS | ctx_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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