2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noise

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dc.contributor.authorUsama, S.
dc.contributor.authorSimak, B.
dc.contributor.authorKlima, M.
dc.coverage.issue4cs
dc.coverage.volume8cs
dc.date.accessioned2016-05-03T10:52:59Z
dc.date.available2016-05-03T10:52:59Z
dc.date.issued1999-12cs
dc.description.abstractThis paper presents the performance of four motion estimation algorithms with present of zero-mean Gaussian noise. The performance of full search (FS) algorithm, three-step search (TSS) algorithm, new three-step search (NTSS) algorithm, and four-step search (4SS) algorithm with influence of Gaussian noise has been described for three of famous video sequences. The critical signal-to-noise ratio (SNR) is introduced for each algorithm. The worst performance is often in case of full search algorithm (FS).en
dc.formattextcs
dc.format.extent35-40cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1999, vol. 8, č. 4, s. 35-40. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58284
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1999/99_04_08.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectmotion comensationen
dc.subjectfull searchen
dc.subjectthree-step searchen
dc.subjectnew three-step searchen
dc.subjectfour-step searchen
dc.subjectpeak signal-to-noise-ratioen
dc.title2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noiseen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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