Features of fractal image compression

Giesl, Jiří; Vlček, Karel

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