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dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
dc.contributor.authorLe Pennec, Erwan
dc.contributor.authorDossal, Charles
dc.contributor.authorMallat, Stéphane
dc.date.accessioned2014-05-20T14:37:21Z
dc.date.available2014-05-20T14:37:21Z
dc.date.issued2007
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/13340
dc.language.isoenen
dc.subjectmodel selectionen
dc.subjectminimax estimationen
dc.subjectbandletsen
dc.subjectImage denoisingen
dc.subject.ddc519en
dc.titleGeometrical image estimation with orthogonal bandlet basesen
dc.typeCommunication / Conférence
dc.description.abstractenThis article presents the first adaptive quasi minimax estimator for geometrically regular images in the white noise model. This estimator is computed using a thresholding in an adapted orthogonal bandlet basis optimized for the noisy observed image. In order to analyze the quadratic risk of this best basis denoising, the thresholding in an orthogonal bandlets basis is recasted as a model selection process. The resulting estimator is computed with a fast algorithm whose theoretical performance can be derived. This efficiency is confirmed through numerical experiments on natural images.en
dc.relation.ispartofseriestitleSPIE Proceedingsen
dc.relation.ispartofseriesnumber6701en
dc.relation.ispartoftitleWavelets XII - Proceedingsen
dc.relation.ispartofeditorVan de Ville, Dimitri
dc.relation.ispartofeditorGoyal, Vivek K.
dc.relation.ispartofeditorPapadakis, Manos
dc.relation.ispartofpublnameInternational Society for Optical Engineeringen
dc.relation.ispartofdate2007
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00365606en
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.conftitleWavelets XIIen
dc.relation.confdate2007-08
dc.relation.confcitySan Diegoen
dc.relation.confcountryÉtats-Unisen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1117/12.731227en


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