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dc.contributor.authorAlam, Muhammad Zeshan
dc.contributor.authorQian, Qinchun
dc.contributor.authorGüntürk, Bahadır Kürşat
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:35:37Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:35:37Z
dc.date.issued2019en_US
dc.identifier.citationAlam, M. Z., Qian, Q. ve Güntürk, B. K. (2019). Space-variant blur kernel estimation and image deblurring through kernel clustering. Signal Processing: Image Communication, 76, 41-55. https://dx.doi.org/10.1016/j.image.2019.04.014en_US
dc.identifier.issn0923-5965
dc.identifier.issn1879-2677
dc.identifier.urihttps://hdl.handle.net/20.500.12511/876
dc.identifier.urihttps://dx.doi.org/10.1016/j.image.2019.04.014
dc.description.abstractThis paper presents a space-variant blur kernel estimation and image deblurring framework. For space-variant blur kernel estimation, the input image is divided into small patches, and for each patch, the blur kernel is estimated. The estimated kernels are then grouped to determine different kernel clusters in the image. During clustering, unreliable kernel estimates are eliminated. The blur kernel for each kernel cluster is finally refined using the corresponding image region, which is the union of image patches associated with the kernels in the cluster. For space-variant image deblurring, the entire image is deconvolved with each blur kernel to produce a set of deblurred images. These images are then fused to produce a blur-free image, where the fusion process selects the optimal regions from the set of deblurred images.en_US
dc.description.sponsorshipIstanbul Development Agency (ISTKA), Turkeyen_US
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectImage Fusionen_US
dc.subjectSpace-Variant Image Deblurringen_US
dc.subjectSpace-Variant PSF Estimationen_US
dc.titleSpace-variant blur kernel estimation and image deblurring through kernel clusteringen_US
dc.typearticleen_US
dc.relation.ispartofSignal Processing: Image Communicationen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0003-0779-9620en_US
dc.identifier.volume76en_US
dc.identifier.startpage41en_US
dc.identifier.endpage55en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.image.2019.04.014en_US
dc.identifier.wosqualityQ2en_US


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