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dc.contributor.authorPeyré, Gabriel
dc.contributor.authorFadili, Jalal
dc.date.accessioned2010-03-09T11:26:03Z
dc.date.available2010-03-09T11:26:03Z
dc.date.issued2009-04
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/3666
dc.language.isoenen
dc.subjectNesterov schemeen
dc.subjectinverse problemsen
dc.subjectforward-backward splittingen
dc.subjectproximal operatoren
dc.subjectdualityen
dc.subjectprojectionen
dc.subjectTotal variationen
dc.subject.ddc621.3en
dc.titleTotal Variation Projection with First Order Schemesen
dc.typeCommunication / Conférence
dc.description.abstractenThis article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual formulation that is solved by first order non-smooth optimization methods. This yields an iterative algorithm that computes iterative soft thresholding of the dual vector fields. This projection algorithm can then be used as a building block in a variety of applications such as solving inverse problems under a total variation constraint, or for texture synthesis. Numerical results show that our algorithm competes favorably with state-of-the-art TV projection methods to solve denoising, texture synthesis, inpainting and deconvolution problems.en
dc.identifier.citationpages1325-1328en
dc.relation.ispartoftitleIEEE International Conference on Image Processing ICIP 2009 Proceedingsen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2009
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/ICIP.2009.5413571
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00380491/en/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-1-4244-5653-6en
dc.relation.conftitle16th IEEE International Conference on Image Processingen
dc.relation.confdate2009-11
dc.relation.confcityLe Caireen
dc.relation.confcountryÉgypteen


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