Recovery of polarimetric Stokes images by spatial mixture models

dc.contributor.authorSfikas, G.en
dc.contributor.authorHeinrich, C.en
dc.contributor.authorZallat, J.en
dc.contributor.authorNikou, C.en
dc.contributor.authorGalatsanos, N.en
dc.date.accessioned2015-11-24T17:02:36Z
dc.date.available2015-11-24T17:02:36Z
dc.identifier.issn1084-7529-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11075
dc.rightsDefault Licence-
dc.subjectbayesian-approachen
dc.subjectdata reductionen
dc.subjectnoiseen
dc.subjectrestorationen
dc.titleRecovery of polarimetric Stokes images by spatial mixture modelsen
heal.abstractA Bayesian approach for joint restoration and segmentation of polarization encoded images is presented with emphasis on both physical admissibility and smoothness of the solution. Two distinct models for the sought polarized radiances are used: (i) the polarized light at each site of the image is described by its Stokes vector, which directly follows a mixture of truncated Gaussians, explicitly assigning zero probability to inadmissible configurations and (ii) polarization at each site is represented by the coherency matrix, which is parameterized by a set of variables assumed to be generated by a spatially varying mixture of Gaussians. Application on real and synthetic images using the proposed methods assesses the pertinence of the approach. (C) 2011 Optical Society of Americaen
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameJournal of the Optical Society of America a-Optics Image Science and Visionen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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