Reconstruction of Damaged Images using Radial Basis Functions

dc.contributor.author	Uhlíř, Zdeněk
dc.contributor.author	Skala, Václav
dc.date.accessioned	2014-12-22T09:57:15Z
dc.date.available	2014-12-22T09:57:15Z
dc.date.issued	2005
dc.description.abstract	The 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.format	4 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	EUSIPCO 2005: 13th European Signal Processing Conference, p. 1-4.	cs
dc.identifier.isbn	975-00188-0-X
dc.identifier.uri	http://hdl.handle.net/11025/11793
dc.language.iso	en	en
dc.publisher	Bogazici University	cs
dc.relation.ispartofseries	EUSIPCO 2005	en
dc.rights.access	openAccess	en
dc.subject	počítačová grafika	cs
dc.subject	rekonstrukce obrazu	cs
dc.subject	radiální bázové funkce	cs
dc.subject.translated	computer graphics	en
dc.subject.translated	image reconstruction	en
dc.subject.translated	radial basis functions	en
dc.title	Reconstruction of Damaged Images using Radial Basis Functions	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

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