DSP Implementation of Image Compression by Multiresolutional Analysis

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dc.contributor.authorKucera, R.
dc.contributor.authorVlcek, J.
dc.contributor.authorVlcek, K.
dc.coverage.issue1cs
dc.coverage.volume7cs
dc.date.accessioned2016-05-05T10:57:58Z
dc.date.available2016-05-05T10:57:58Z
dc.date.issued1998-04cs
dc.description.abstractWavelet algorithms allow considerably higher compression rates compared to Fourier transform based methods. The most important field of applications of wavelet transforms is that the image is captured in few wavelet coefficients. The successful applications in compression of image or in series of images in both the space and the time dimensions. Compression algorithms exploit the multi-scale nature of the wavelet transform.en
dc.formattextcs
dc.format.extent7-9cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1998, vol. 7, č. 1, s. 7-9. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58328
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1998/98_01_02.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectwavelet transformen
dc.subjectmultiresolutional analysisen
dc.subjectimage compressionen
dc.subjectdigital signal processingen
dc.titleDSP Implementation of Image Compression by Multiresolutional Analysisen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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