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.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.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.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.access | openAccess | |
| 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.type.status | Peer-reviewed | cs |
| dc.type.version | publishedVersion | cs |