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Discrete bandelets with geometric orthogonal filters

dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
dc.contributor.authorMallat, Stéphane
dc.date.accessioned2009-07-08T10:26:58Z
dc.date.available2009-07-08T10:26:58Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/959
dc.language.isoenen
dc.subjectimage compression
dc.subjectgeometric images
dc.subjectBandlets
dc.subjectwavelet
dc.subject.ddc519en
dc.titleDiscrete bandelets with geometric orthogonal filters
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherCNRS - Université de Versailles-Saint Quentin en Yvelines - Polytechnique X;France
dc.description.abstractenThis paper describes the construction of second generation bandelet orthogonal bases. The decomposition on a bandelet basis is computed using a wavelet filter bank followed by adaptive geometric orthogonal filters, that require O(N) operations. The resulting geometry is multiscale and calculated with a fast procedure that minimizes a Lagrangian cost at each scale. Image compression with the resulting bandelet transform code gives significantly better results than a wavelet transform code.
dc.identifier.citationpages65-68
dc.relation.ispartoftitleIEEE International Conference on Image Processing, 2005. (ICIP 2005), Genova : Italy (2005)
dc.relation.ispartofpublnameIEEE
dc.relation.ispartofpublcityPiscataway, NJ
dc.relation.ispartofdate2005
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn0-7803-9134-9
dc.relation.confcountryITALY
dc.identifier.doihttps://doi.org/10.1109/ICIP.2005.1529688
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-09-21T13:35:46Z


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