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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierInstitut für Numerische und Angewandte Mathematik
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
dc.date.accessioned2024-04-04T03:11:06Z
dc.date.available2024-04-04T03:11:06Z
dc.date.issued2016
dc.date.conference2016-08-29
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193742
dc.description.abstractEnImage denoising is a fundamental problem in image processing and many powerful algorithms have been developed. However, they often rely on the knowledge of the noise distribution and its parameters. We propose a fully blind denoising method that first estimates the noise level function then uses this estimation for automatic denoising. First we perform the non-parametric detection of homogeneous image regions in order to compute a scatterplot of the noise statistics, then we estimate the noise level function with the least absolute deviation estimator. The noise level function parameters are then directly re-injected into an adaptive denoising algorithm based on the non-local means with no prior model fitting. Results show the performance of the noise estimation and denoising methods, and we provide a robust blind denoising tool.
dc.language.isoen
dc.source.titleSignal Processing Conference (EUSIPCO), 2016 24th European
dc.title.enAutomatic estimation of the noise level function for adaptive blind denoising
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/EUSIPCO.2016.7760213
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.page76 - 80
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title24th European Signal Processing Conference (EUSIPCO), 2016
bordeaux.countryHU
bordeaux.title.proceedingSignal Processing Conference (EUSIPCO), 2016 24th European
bordeaux.conference.cityBudapest
bordeaux.peerReviewedoui
hal.identifierhal-01450723
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2016-09-02
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01450723v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Signal%20Processing%20Conference%20(EUSIPCO),%202016%2024th%20European&rft.date=2016&rft.spage=76%20-%2080&rft.epage=76%20-%2080&rft.au=SUTOUR,%20Camille&AUJOL,%20Jean-Fran%C3%A7ois&DELEDALLE,%20Charles-Alban&rft.genre=unknown


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