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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorHIDANE, Moncef
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBERTHOUMIEU, Yannick
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
dc.date.accessioned2024-04-04T03:21:35Z
dc.date.available2024-04-04T03:21:35Z
dc.date.issued2014-11-01
dc.date.conference2014-10-27
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194670
dc.description.abstractEnThe classical super-resolution (SR) setting starts with a set of low-resolution (LR) images related by subpixel shifts and tries to reconstruct a single high-resolution (HR) image. In some cases, partial observations about the HR image are also available. Trying to complete the missing HR data without any reference to LR ones is an inpainting (or completion) problem. In this paper, we consider the problem of recov- ering a single HR image from a pair consisting of a complete LR and incomplete HR image pair. This setting arises in par- ticular when one wants to fuse image data captured at two different resolutions. We propose an efficient algorithm that allows to take advantage of both image data by first learning nonlocal interactions from an interpolated version of the LR image using patches. Those interactions are then used by a convex energy function whose minimization yields a super- resolved complete image.
dc.language.isoen
dc.source.titleIEEE International Conference on Image Processing 2014
dc.title.enSUPER-RESOLUTION FROM A LOW- AND PARTIAL HIGH- RESOLUTION IMAGE PAIR
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.page1
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternational Conference on Image Processing
bordeaux.countryFR
bordeaux.title.proceedingIEEE International Conference on Image Processing 2014
bordeaux.conference.cityParis
bordeaux.peerReviewedoui
hal.identifierhal-01024883
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2014-10-30
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01024883v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEEE%20International%20Conference%20on%20Image%20Processing%202014&rft.date=2014-11-01&rft.spage=1&rft.epage=1&rft.au=HIDANE,%20Moncef&AUJOL,%20Jean-Fran%C3%A7ois&BERTHOUMIEU,%20Yannick&DELEDALLE,%20Charles-Alban&rft.genre=unknown


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