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dc.contributor.authorFryza, T.
dc.contributor.authorHanus, S.
dc.date.accessioned2016-04-28T06:19:08Z
dc.date.available2016-04-28T06:19:08Z
dc.date.issued2003-12cs
dc.identifier.citationRadioengineering. 2003, vol. 12, č. 4, s. 18-20. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58114
dc.description.abstractThis paper describes implementation of the Discrete Cosine Transform (DCT) algorithm to MATLAB. This approach is used in JPEG or MPEG standards for instance. The substance of these specifications is to remove the considerable correlation between adjacent picture elements. The objective of this paper is not to improve the DCT algorithm it self, but to re-write it to the preferable version for MATLAB thus allows the enumeration with insignificant delay. The method proposed in this paper allows image compression calculation almost two hundred times faster compared with the DCT definition.en
dc.formattextcs
dc.format.extent18-20cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2003/03_04_18_20.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMATLABen
dc.subjectalgorithmsen
dc.subjectimage compressionen
dc.subject2D DCTen
dc.subjectNRMSEen
dc.subjectcalculation timeen
dc.titleImage Compression Algorithms Optimized for MATLABen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume12cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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