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The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm

hal.structure.identifier
dc.contributor.authorBriand, Thibaud
HAL ID: 17160
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorVacher, Jonathan
hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorGalerne, Bruno
hal.structure.identifier
dc.contributor.authorRabin, Julien
HAL ID: 3181
ORCID: 0000-0003-3834-918X
dc.date.accessioned2018-01-15T13:29:45Z
dc.date.available2018-01-15T13:29:45Z
dc.date.issued2014
dc.identifier.issn2105–1232
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17331
dc.language.isoenen
dc.subjectHeeger & Bergen Pyramiden
dc.subjectHeeger-Bergen algorithmen
dc.subject.ddc621.3en
dc.titleThe Heeger & Bergen Pyramid Based Texture Synthesis Algorithmen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThis contribution deals with the Heeger-Bergen pyramid-based texture analysis/synthesis algorithm. It brings a detailed explanation of the original algorithm tested on many characteristic examples. Our analysis reproduces the original results, but also brings a minor improvement concerning non-periodic textures. Inspired by visual perception theories, Heeger and Bergen proposed to characterize a texture by its first-order statistics of both its color and its responses to multiscale and multi-orientation filters, namely the steerable pyramid. The Heeger-Bergen algorithm consists in the following procedure: starting from a white noise image, histogram matchings are performed to the noise alternatively in both the image domain and steerable pyramid domain, so that the corresponding histograms match the ones of the input texture.en
dc.relation.isversionofjnlnameIPOL Journal. Image Processing On Line
dc.relation.isversionofjnlvol4en
dc.relation.isversionofjnldate2014-04
dc.relation.isversionofjnlpages276 - 299en
dc.relation.isversionofdoi10.5201/ipol.2014.79en
dc.identifier.urlsitehttps://doi.org/10.5201/ipol.2014.79en
dc.subject.ddclabelTraitement du signalen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2018-01-15T13:20:54Z
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