Reconstruction of Damaged Images using Radial Basis Functions

dc.contributor.authorUhlíř, Zdeněk
dc.contributor.authorSkala, Václav
dc.date.accessioned2014-12-22T09:57:15Z
dc.date.available2014-12-22T09:57:15Z
dc.date.issued2005
dc.description.abstractThe Radial Basis Function method (RBF) can be used not only for reconstruction of a surface from scattered data but for reconstruc-tion of damaged images, filling gaps and for restoring missing data in images, too. The basic idea of reconstruction algorithm with RBF and very interesting results from reconstruction of images damaged by noise are presented. Feasibility of the RBF method for image processing is demonstrated.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationEUSIPCO 2005: 13th European Signal Processing Conference, p. 1-4.cs
dc.identifier.isbn975-00188-0-X
dc.identifier.urihttp://hdl.handle.net/11025/11793
dc.language.isoenen
dc.publisherBogazici Universitycs
dc.relation.ispartofseriesEUSIPCO 2005en
dc.rights.accessopenAccessen
dc.subjectpočítačová grafikacs
dc.subjectrekonstrukce obrazucs
dc.subjectradiální bázové funkcecs
dc.subject.translatedcomputer graphicsen
dc.subject.translatedimage reconstructionen
dc.subject.translatedradial basis functionsen
dc.titleReconstruction of Damaged Images using Radial Basis Functionsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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