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dc.contributor.authorAndras, L.
dc.contributor.authorChmurny, J.
dc.date.accessioned2016-05-02T12:05:28Z
dc.date.available2016-05-02T12:05:28Z
dc.date.issued2001-06cs
dc.identifier.citationRadioengineering. 2001, vol. 10, č. 2, s. 5-8. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58184
dc.description.abstractTransform-based coding methods are popular in data compression. In the paper, an easily implemented method is proposed for the weighting factors of the Gabor decomposition. The method is based on the least-mean- squares error (LMSE) approach. The solution of the LMSE problem shows that the weighting factors can be extracted by simple multiplication between a matrix and the vector of data. If the set Gabor functions are chosen to be independent of the test images, this matrix is constant. Images are reconstructed by multiplying the matrix of Gabor functions and the vector of weighting factors. The choise of Gabor functions in the decomposition allows that the resulting decomposition has a pyramidal structure. In the paper is proposed simple codec system for pyramidal Gabor expansion for image compression.en
dc.formattextcs
dc.format.extent5-8cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2001/01_02_05_08.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectGabor transformen
dc.subjectGabor elementary functionen
dc.subjectpyra-midal Gabor expansionen
dc.titleImage Compression by Gabor Expansionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume10cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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