Fractal block-coding: A functional approach for image and signal processing

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A mathematical setting, for a method of fractal block-coding of image functions was presented. The method was based on the notion of generalized self-similarity model. Block-coding techniques along with this functional model allowed, to take advantage of local redundancy of the images. It was shown...

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Autores principales:	Cabrelli, C.A., Falsetti, M.C., Molter, U.M.
Formato:	Artículo publishedVersion
Publicado:	2002
Materias:	Block-coding Fixed points Fractal compression Functional equation Grey-level functions Self-similarity Approximation theory Block codes Digital signal processing Fractals Image reconstruction Mathematical operators Theorem proving Image coding
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_Cabrelli http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_08981221_v44_n8-9_p1183_Cabrelli_oai
Aporte de:	Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

id	I28-R145-paper_08981221_v44_n8-9_p1183_Cabrelli_oai
record_format	dspace
spelling	I28-R145-paper_08981221_v44_n8-9_p1183_Cabrelli_oai2020-10-19 Cabrelli, C.A. Falsetti, M.C. Molter, U.M. 2002 A mathematical setting, for a method of fractal block-coding of image functions was presented. The method was based on the notion of generalized self-similarity model. Block-coding techniques along with this functional model allowed, to take advantage of local redundancy of the images. It was shown that the generalized self-similarity model could be used for the coding and reconstruction of digital signals and images. Fil:Cabrelli, C.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Falsetti, M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Molter, U.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. application/pdf http://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_Cabrelli info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar Comput Math Appl 2002;44(8-9):1183-1200 Block-coding Fixed points Fractal compression Functional equation Grey-level functions Self-similarity Fractal compression Approximation theory Block codes Digital signal processing Fractals Image reconstruction Mathematical operators Theorem proving Image coding Fractal block-coding: A functional approach for image and signal processing info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_08981221_v44_n8-9_p1183_Cabrelli_oai
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-145
collection	Repositorio Digital de la Universidad de Buenos Aires (UBA)
topic	Block-coding Fixed points Fractal compression Functional equation Grey-level functions Self-similarity Fractal compression Approximation theory Block codes Digital signal processing Fractals Image reconstruction Mathematical operators Theorem proving Image coding
spellingShingle	Block-coding Fixed points Fractal compression Functional equation Grey-level functions Self-similarity Fractal compression Approximation theory Block codes Digital signal processing Fractals Image reconstruction Mathematical operators Theorem proving Image coding Cabrelli, C.A. Falsetti, M.C. Molter, U.M. Fractal block-coding: A functional approach for image and signal processing
topic_facet	Block-coding Fixed points Fractal compression Functional equation Grey-level functions Self-similarity Fractal compression Approximation theory Block codes Digital signal processing Fractals Image reconstruction Mathematical operators Theorem proving Image coding
description	A mathematical setting, for a method of fractal block-coding of image functions was presented. The method was based on the notion of generalized self-similarity model. Block-coding techniques along with this functional model allowed, to take advantage of local redundancy of the images. It was shown that the generalized self-similarity model could be used for the coding and reconstruction of digital signals and images.
format	Artículo Artículo publishedVersion
author	Cabrelli, C.A. Falsetti, M.C. Molter, U.M.
author_facet	Cabrelli, C.A. Falsetti, M.C. Molter, U.M.
author_sort	Cabrelli, C.A.
title	Fractal block-coding: A functional approach for image and signal processing
title_short	Fractal block-coding: A functional approach for image and signal processing
title_full	Fractal block-coding: A functional approach for image and signal processing
title_fullStr	Fractal block-coding: A functional approach for image and signal processing
title_full_unstemmed	Fractal block-coding: A functional approach for image and signal processing
title_sort	fractal block-coding: a functional approach for image and signal processing
publishDate	2002
url	http://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_Cabrelli http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_08981221_v44_n8-9_p1183_Cabrelli_oai
work_keys_str_mv	AT cabrellica fractalblockcodingafunctionalapproachforimageandsignalprocessing AT falsettimc fractalblockcodingafunctionalapproachforimageandsignalprocessing AT molterum fractalblockcodingafunctionalapproachforimageandsignalprocessing
_version_	1766026717299736576

Fractal block-coding: A functional approach for image and signal processing

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