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Adaptive regularization of the NL-means for video denoising

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorSUTOUR, Camille
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorDOMENGER, Jean-Philippe
dc.date.accessioned2024-04-04T03:22:08Z
dc.date.available2024-04-04T03:22:08Z
dc.date.created2014-01-20
dc.date.issued2014-10-27
dc.date.conference2014-10-27
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194727
dc.description.abstractEnWe derive a denoising method based on an adaptive regularization of the non-local means. The NL-means reduce noise by using the redundancy in natural images. They compute a weighted average of pixels whose surroundings are close. This method performs well but it suffers from residual noise on singular structures. We use the weights computed in the NL-means as a measure of performance of the denoising process. These weights balance the data-fidelity term in an adapted ROF model, in order to locally perform adaptive TV regularization. Besides, this model can be adapted to different noise statistics and a fast resolution can be computed in the general case of the exponential family. We adapt this model to video denoising by using spatio-temporal patches. Compared to spatial patches, they offer better temporal stability, while the adaptive TV regularization corrects the residual noise observed around moving structures.
dc.language.isoen
dc.source.titleIEEE International Conference on Image Processing 2014
dc.title.enAdaptive regularization of the NL-means for video denoising
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.page5 p.
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleIEEE International Conference on Image Processing 2014
bordeaux.countryFR
bordeaux.title.proceedingIEEE International Conference on Image Processing 2014
bordeaux.conference.cityParis
bordeaux.peerReviewedoui
hal.identifierhal-01016610
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2014-10-30
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01016610v1
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=2014-10-27&rft.spage=5%20p.&rft.epage=5%20p.&rft.au=SUTOUR,%20Camille&AUJOL,%20Jean-Fran%C3%A7ois&DELEDALLE,%20Charles-Alban&DOMENGER,%20Jean-Philippe&rft.genre=unknown


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