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dc.contributor.authorQian, Qinchun
dc.contributor.authorGüntürk, Bahadır Kürşat
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:37:23Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:37:23Z
dc.date.issued2014en_US
dc.identifier.citationQian, Q. ve Güntürk, B. K. (2014). Space-varying blur kernel estimation and image deblurring. Conference on Digital Photography X. San Francisco, CA. February 03-05, 2014. https://dx.doi.org/10.1117/12.2038857en_US
dc.identifier.isbn9780819499400
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1394
dc.identifier.urihttps://dx.doi.org/10.1117/12.2038857
dc.description.abstractIn recent years, we have seen highly successful blind image deblurring algorithms that can even handle large motion blurs. Most of these algorithms assume that the entire image is blurred with a single blur kernel. This assumption does not hold if the scene depth is not negligible or when there are multiple objects moving differently in the scene. In this paper, we present a method for space-varying point spread function (PSF) estimation and image deblurring. Regarding the PSF estimation, we do not make any restrictions on the type of blur or how the blur varies spatially. That is, the blur might be, for instance, a large (non-parametric) motion blur in one part of an image and a small defocus blur in another part without any smooth transition. Once the space-varying PSF is estimated, we perform space-varying image deblurring, which produces good results even for regions where it is not clear what the correct PSF is at first. We provide experimental results with real data to demonstrate the effectiveness of our method.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.subjectImage Fusionen_US
dc.subjectPoint Spread Function Estimationen_US
dc.subjectSpace-Varying Image Deblurringen_US
dc.titleSpace-varying blur kernel estimation and image deblurringen_US
dc.typeconferenceObjecten_US
dc.relation.ispartofConference 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.doi10.1117/12.2038857en_US


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