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dc.contributor.authorOuarti, Nizar
dc.contributor.authorPeyré, Gabriel
dc.date.accessioned2014-02-11T14:38:59Z
dc.date.available2014-02-11T14:38:59Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12626
dc.language.isoenen
dc.subjectbest basisen
dc.subjectdenoisingen
dc.subjectwaveleten
dc.subjectwavelet packeten
dc.subject.ddc519en
dc.titleBest basis denoising with non-stationary wavelet packetsen
dc.typeCommunication / Conférence
dc.description.abstractenThis article introduces a best basis search algorithm in a non-stationary (NS) wavelet packets dictionary. It computes an optimized labeled quad-tree that indexes the filters used for the NS wavelet packets decomposition. This algorithm extends the classical best basis search by exploring in a hierarchical manner all possible NS wavelet packets coefficients. The scale-by-scale variation of the filters allows to adapt the transform to the frequency content of complex textures. The resulting denoising method is made translation invariant by cycle spinning. Numerical results show that NS wavelet packets give better results than wavelet packets and wave-atoms for the denoising of natural images, in particular in textured areas. Moreover, the cycle spinning method increases significantly the denoising abilities of our algorithm.en
dc.identifier.citationpages3825-3828en
dc.relation.ispartoftitle16th IEEE International Conference on Image Processing (ICIP), 2009 Proceedingsen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2009
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00410869en
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-1-4244-5653-6en
dc.relation.conftitle16th IEEE International Conference on Image Processing (ICIP), 2009en
dc.relation.confdate2009-11
dc.relation.confcityLe Caireen
dc.relation.confcountryÉgypteen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2009.5414264en


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