An image super-resolution algorithm for different error levels per frame

dc.contributor.authorHe, H.en
dc.contributor.authorKondi, L. P.en
dc.date.accessioned2015-11-24T17:01:17Z
dc.date.available2015-11-24T17:01:17Z
dc.identifier.issn1057-7149-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10902
dc.rightsDefault Licence-
dc.subjectregularizationen
dc.subjectresolution enhancementen
dc.subjectsuperresolutionen
dc.subjecthigh-resolution imageen
dc.subjectvideo sequencesen
dc.subjectregularization parameteren
dc.subjectreconstructionen
dc.subjectrestorationen
dc.subjectenhancementen
dc.subjectregistrationen
dc.titleAn image super-resolution algorithm for different error levels per frameen
heal.abstractIn this paper, we propose an image super-resolution (resolution enhancement) algorithm that takes into account inaccurate estimates of the registration parameters and the point spread function. These inaccurate estimates, along with the additive Gaussian noise in the low-resolution (LR) image sequence, result in different noise level for each frame. In the proposed algorithm, the LR frames are adaptively weighted according to their reliability and the regularization parameter is simultaneously estimated. A translational motion model is assumed. The convergence property of the proposed algorithm is analyzed in detail. Our experimental results using both real and synthetic data show the effectiveness of the proposed algorithm.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDoi 10.1109/Tip.2005.860599-
heal.journalNameIeee Transactions on Image Processingen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2006-
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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