Application of Shape-Independent Orthogonal Transforms for Image Interpolation

dc.contributor.authorPolec, J.
dc.contributor.authorPavlovicova, J.
dc.contributor.authorKarlubikova, T.
dc.coverage.issue1cs
dc.coverage.volume11cs
dc.date.accessioned2016-04-28T11:56:49Z
dc.date.available2016-04-28T11:56:49Z
dc.date.issued2002-04cs
dc.description.abstractIn the contribution we develop a new method for object-oriented interpolation of images. It is an important tool in image processing, since using interpolation we can considerably decrease amount of data, necessary for image reconstruction. Application of this interpolation enables to down-sample the object separately. The selected object can be processed at the different sampling level. This approach allows object oriented zoom, for example. Moreover, object - oriented approach is a very novel idea that helps to understand the content of image. Method is created from cosine approximation implemented to coding with shape - independent basis functions.en
dc.formattextcs
dc.format.extent27-30cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2002, vol. 11, č. 1, s. 27-30. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58139
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2002/02_01_27_30.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectInterpolationen
dc.subjectorthogonal transformsen
dc.subjectbasis functionsen
dc.subjectthreshold segmentationen
dc.titleApplication of Shape-Independent Orthogonal Transforms for Image Interpolationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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