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dc.contributor.authorQian, Qinchun
dc.contributor.authorGüntürk, Bahadır Kürşat
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:37:24Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:37:24Z
dc.date.issued2014en_US
dc.identifier.citationQian, Q. ve Güntürk, B. K. (2014). Super-resolution restoration of motion blurred images. Conference on Digital Photography X, San Francisco, CA, 03-05 Şubat 2014. https://dx.doi.org/10.1117/12.2038844en_US
dc.identifier.isbn9780819499400
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1395
dc.identifier.urihttps://dx.doi.org/10.1117/12.2038844
dc.description.abstractIn this paper, we investigate super-resolution image restoration from multiple images, which are possibly degraded with large 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 fields 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 the estimated blur kernel. In the second step, 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 reliability of the corresponding kernel estimate and the deblurred image. We provide experimental results from real video data captured with a hand-held camera, and show that the proposed weighting scheme is robust to motion deblurring errors.en_US
dc.description.sponsorshipSociety for Imaging Science and Technologyen_US
dc.description.sponsorshipSPIEen_US
dc.description.sponsorshipGoogleen_US
dc.description.sponsorshipFairchild Imagingen_US
dc.description.sponsorshipCanonen_US
dc.language.isoengen_US
dc.publisherSPIEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlind Super-Resolutionen_US
dc.subjectMotion Bluren_US
dc.titleSuper-resolution restoration of motion blurred imagesen_US
dc.typeconferenceObjecten_US
dc.relation.journalConference on Digital Photography Xen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0003-0779-9620en_US
dc.identifier.volume9023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1117/12.2038844en_US


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