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dc.contributor.authorMurotani, Kohei
dc.contributor.authorYagawa, Genki
dc.contributor.editorCunningham, Steve
dc.contributor.editorSkala, Václav
dc.date.accessioned2014-04-23T12:47:56Z-
dc.date.available2014-04-23T12:47:56Z-
dc.date.issued2008
dc.identifier.citationWSCG '2008: Communication Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4 - 7, 2008, p. 47-54.en
dc.identifier.isbn978-80-86943-16-9
dc.identifier.urihttp://wscg.zcu.cz/wscg2008/Papers_2008/short/!_WSCG2008_Short_final.zip
dc.identifier.urihttp://hdl.handle.net/11025/11102
dc.description.abstractThere is a noise filtering method for images using Singular Value Decomposition (SVD). This is a method in which pixel values of an image are regarded as elements of a matrix, the image is separated into rough parts and detailed parts by SVD of the matrix and the detailed parts of the image are regarded as noise and removed. Generalized Singular Spectrum Analysis (GSSA) is a method that generalizes SVD to treat more generalized data structures than in SVD. In this research, we present noise filtering methods of images using GSSA.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG '2008: Communication Papersen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectgeneralizovaná analýza jednotného spektracs
dc.subjectsingulární rozkladcs
dc.subjectfiltrování šumucs
dc.titleNoise Filtering of Images Using Generalized Singular Spectrum Analysisen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedgeneralized singular spectrum analysisen
dc.subject.translatedsingular value decompositionen
dc.subject.translatednoise filteringen
dc.type.statusPeer-revieweden
dc.type.driverinfo:eu-repo/semantics/conferenceObjecten
dc.type.driverinfo:eu-repo/semantics/publishedVersionen
Appears in Collections:WSCG '2008: Communication Papers

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