Blind super-resolution restoration with frame-by-frame nonparametric blur estimation

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dc.authorid0000-0003-0779-9620
dc.contributor.authorQian, Qinchun
dc.contributor.authorGüntürk, Bahadır Kürşat
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T20:01:51Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T20:01:51Z
dc.date.issued2016
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.descriptionWOS: 000367895200014
dc.description.abstractIn this paper, we investigate super-resolution image restoration from multiple images, which are possibly degraded with large nonparametric motion blur. The blur kernel for each input image is separately estimated. This is unlike many existing super-resolution algorithms, which assume identical blur kernel for all input images. We also do not make any restrictions on the motion field among images; that is, we estimate dense motion field without simplifications such as parametric motion. We present a two-step algorithm: In the first step, each input image is deblurred using its estimated blur kernel. In the second step, multi-frame super-resolution restoration is applied to the deblurred images. Because the estimated blur kernels may not be accurate, we propose a weighted cost function for the super-resolution restoration step, where a weight associated with an input image reflects the reliabilities of the corresponding kernel estimate and deblurred image. We provide experimental results with both simulated and real data, and show the effectiveness and robustness of the proposed method compared to some alternative approaches and state-of-the-art methods.
dc.description.sponsorshipScientific and Technological Research Council of Turkeyen_US
dc.description.sponsorshipThis work is supported in part by the Scientific and Technological Research Council of Turkey.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.identifier.citationQian, Q. ve Güntürk, B. K. (2016). Blind super-resolution restoration with frame-by-frame nonparametric blur estimation. Multidimensional Systems And Signal Processing, 27(1), 255-273. https://dx.doi.org/10.1007/s11045-015-0322-y
dc.identifier.doi10.1007/s11045-015-0322-y
dc.identifier.endpage273
dc.identifier.issn0923-6082
dc.identifier.issn1573-0824
dc.identifier.issue1
dc.identifier.scopusqualityQ2
dc.identifier.startpage255
dc.identifier.urihttps://dx.doi.org/10.1007/s11045-015-0322-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/3469
dc.identifier.volume27
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofMultidimensional Systems And Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMotion Deblurring
dc.subjectSuper-Resolution
dc.subjectBlind Image Deconvolution
dc.titleBlind super-resolution restoration with frame-by-frame nonparametric blur estimation
dc.typeArticle

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