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Features of fractal image compression

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dc.title Features of fractal image compression en
dc.contributor.author Giesl, Jiří
dc.contributor.author Vlček, Karel
dc.relation.ispartof MENDEL 2009
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-80-214-3884-2
dc.date.issued 2009
dc.citation.spage 349
dc.citation.epage 354
dc.event.title 15th International Conference on Soft Computing
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2009-06-24
dc.event.edate 2009-06-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Vysoké učení technické v Brně cs
dc.subject signal processing en
dc.subject IFS en
dc.subject fractal compression en
dc.subject image denoising en
dc.subject fractal zoom en
dc.subject image enlarging en
dc.subject fractal encryption en
dc.subject image encryption en
dc.subject fractal parameter en
dc.description.abstract Fractal compression based on Iterated Function Systems (IFS) has a great potential to be useful in other areas of signal processing than just in the data compression field. This potential is done due to features of fractal parameters. The lossy feature of this method causes elimination of some redundant elements and thus it can be applied for reconstruction of noised signals purposes. Independence on resolution allows enlarging images and viewing them in many scales. Also fractal parameters sensitivity for image reconstruction can be very helpful for security purposes. This work deals with these features and practical demonstration of their usage. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001831
utb.identifier.obdid 43861816
utb.identifier.scopus 2-s2.0-84907938307
utb.identifier.wok 000273029500053
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:02Z
dc.date.available 2011-08-09T07:34:02Z
utb.contributor.internalauthor Giesl, Jiří
utb.contributor.internalauthor Vlček, Karel
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