Image deblurring – Wiener filter versus TSVD approach

dc.contributor.author	Bojarczak, P.
dc.contributor.author	Łukasik, Z.
dc.date.accessioned	2011-02-03T10:05:06Z
dc.date.available	2011-02-03T10:05:06Z
dc.date.issued	2007
dc.identifier.citation	Advances in electrical and electronic engineering. 2007, vol. 6, no. 2, p. 86-89.	en
dc.identifier.issn	1336-1376
dc.identifier.uri	http://hdl.handle.net/10084/83873
dc.description.abstract	This paper presents comparison study of two different deblurring methods: Wiener filter and TSVD decomposition. Wiener filter is a method giving the best results when variance of the noise incorporated in blurring process is known a priori. In TSVD decomposition the knowledge of precise variance of the noise is not necessary to image restoration. The paper also discusses basis blurring forms and their mathematical description.	en
dc.format.extent	248052 bytes	cs
dc.format.mimetype	application/pdf	cs
dc.language.iso	en	en
dc.publisher	Žilinská univerzita v Žiline. Elektrotechnická fakulta	en
dc.relation.ispartofseries	Advances in electrical and electronic engineering	en
dc.relation.uri	http://advances.utc.sk/index.php/AEEE	en
dc.rights	Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.rights	© Žilinská univerzita v Žiline. Elektrotechnická fakulta
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/
dc.title	Image deblurring – Wiener filter versus TSVD approach	en
dc.type	article	en
dc.rights.access	openAccess
dc.type.version	publishedVersion	cs
dc.type.status	Peer-reviewed	cs

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AEEE. 2007, vol. 6 [26]

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