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dc.contributor.authorPeyré, Gabriel
dc.date.accessioned2010-09-28T12:37:28Z
dc.date.available2010-09-28T12:37:28Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4852
dc.language.isoenen
dc.subjectapproximationen
dc.subjectdictionary learningen
dc.subjectinverse problemsen
dc.subjectAdaptivityen
dc.subjectsparse regularizationen
dc.subjectnon-local regularizationen
dc.subjectbest basisen
dc.subjecttriangulationsen
dc.subjecttexture synthesisen
dc.subjectdenoisingen
dc.subject.ddc621.3en
dc.titleA Review of Adaptive Image Representationsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenImproving the modeling of natural im- ages is important to go beyond the state of the art for many image processing tasks such as compression, denoising, inverse problems and texture synthesis. Natural images are composed of intricate patterns such as regular areas, edges, junctions, oriented os- cillations and textures. Processing efficiently such a wide range of regularities requires methods that are adaptive to the geometry of the image. This adap- tivity can be achieved using sparse representations in a redundant dictionary. The geometric adaptivity is important to search for efficient representations in a structured dictionary. Another way to capture this geometry is through non-local interactions be- tween patches in the image. The resulting non-local energies can be used to perform an adaptive im- age restoration. This paper reviews these emerging technics and shows the interplay between sparse and non-local regularizations.en
dc.relation.isversionofjnlnameIEEE Journal of Selected Topics in Signal Processing
dc.relation.isversionofjnlvol5
dc.relation.isversionofjnlissue5
dc.relation.isversionofjnldate2011
dc.relation.isversionofjnlpages896-911
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/JSTSP.2011.2120592
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00519525/fr/en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherIEEE
dc.subject.ddclabelTraitement du signalen


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