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dc.contributor.authorLukac, R.
dc.contributor.authorMarchevsky, S.
dc.date.accessioned2016-05-02T12:42:26Z
dc.date.available2016-05-02T12:42:26Z
dc.date.issued2000-09cs
dc.identifier.citationRadioengineering. 2000, vol. 9, č. 3, s. 5-7. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58232
dc.description.abstractIn this paper a design of neural LUM smoother is presented. The LUM smoother distinguishes by a number of smoothing characteristics done by the filter parameter. However, the tuning parameter for smoothing is fixed for whole image. The new method realizes adaptive control of the level of smoothing by neural networks. The well-known and very popular backpropagation algorithm is used. The analysis of the proposed methods is evaluated through subjective and objective criteria and compared with the traditional LUM smoother.en
dc.formattextcs
dc.format.extent5-7cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2000/00_03_05_07.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectLUM filtersen
dc.subjectneural networksen
dc.subjectbackpropagationen
dc.subjectimpulsive noiseen
dc.subjectsmoothingen
dc.subjectadaptive controlen
dc.titleA Neural LUM Smootheren
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue3cs
dc.coverage.volume9cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License