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dc.contributor.authorKocur, D.
dc.contributor.authorHudec, R.
dc.contributor.authorMarchevsky, S.
dc.date.accessioned2016-05-02T12:42:51Z
dc.date.available2016-05-02T12:42:51Z
dc.date.issued2000-12cs
dc.identifier.citationRadioengineering. 2000, vol. 9, č. 4, s. 15-21. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58239
dc.description.abstractIn this paper, several adaptive least mean squares (LMS) location-invariant filter (L-filter) modifications will be described. These filters are based on linear combination of order statistics. The adaptive L-filters are able to adapt well to variety of noise probability distribution, including impulsive noise. They also perform well in the case of nonstationary signals and, therefore, they are suitable for image processing, too. Following this L-filter property, applications of the adaptive LMS L-filters for filtering two-dimensional static images degraded by mixed noise consisting of additive Gaussian white noise and impulsive noise will be presented in this paper. Based on conveniently selected experiments intent on image filtering, the properties of a several adaptive L-filters modifications will be demonstrated and compared. It will follow from experiment results, that the L-filter modification called signal-dependent LMS L-filter yields the best results.en
dc.formattextcs
dc.format.extent15-21cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2000/00_04_15_21.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectNon-linear filtersen
dc.subjectadaptive filtersen
dc.subjectL-filtersen
dc.subjectLMS algorithmen
dc.subjectimage filteringen
dc.titleSuppression of Mixed Noise in the Similar Images by Using Adaptive LMS L-filtersen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume9cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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