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dc.contributor.authorMaurel, Pierre
dc.contributor.authorAujol, Jean-François
dc.contributor.authorPeyré, Gabriel
dc.date.accessioned2009-06-30T12:26:24Z
dc.date.available2009-06-30T12:26:24Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/567
dc.language.isoenen
dc.subjectTextureen
dc.subjectimage separationen
dc.subjectinpaintingen
dc.subjecttotal variationen
dc.subjectvariational methoden
dc.subjectlocal Fourieren
dc.subjectwaveletsen
dc.subjectcartoonen
dc.subject.ddc519en
dc.titleLocally Parallel Textures Modeling with Adapted Hilbert Spacesen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherEcole Normale Supérieure, Cachan;France
dc.description.abstractenThis article presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The weights on the local Fourier atoms are optimized to match the local orientation and frequency of the texture. We propose an adaptive method to decompose an image into a cartoon layer and a locally parallel texture layer using this model and a total variation cartoon model. This decomposition method is then used to denoise an image containing oscillating patterns. Finally we show how to take advantage of such a separation framework to simultaneously inpaint the structure and texture components of an image with missing parts. Numerical results show that our method improves state of the art algorithms for directional and complex textures.en
dc.identifier.citationpages429-442
dc.relation.ispartofseriestitleLecture Notes in Computer Science
dc.relation.ispartofseriesnumber5681
dc.relation.ispartoftitleEnergy Minimization Methods in Computer Vision and Pattern Recognition. 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings
dc.relation.ispartofeditorSchmidt, Frank R.
dc.relation.ispartofeditorBlake, Andrew
dc.relation.ispartofeditorBoykov, Yuri
dc.relation.ispartofeditorCremers, Daniel
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofpublcityBerlin
dc.relation.ispartofdate2009
dc.relation.ispartofpages494
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/978-3-642-03641-5
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00392270/en/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-3-642-03640-8
dc.relation.conftitleEMMCVPR'09en
dc.relation.confdate2009-08
dc.relation.confcityBonnen
dc.relation.confcountryAllemagneen
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-03641-5_32


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