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

Autores
Cabrelli, C.A.; Falsetti, M.C.; Molter, U.M.
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fuente
Comput Math Appl 2002;44(8-9):1183-1200
Materia
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
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_08981221_v44_n8-9_p1183_Cabrelli
Acceder
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oai_identifier_str paperaa:paper_08981221_v44_n8-9_p1183_Cabrelli
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Fractal block-coding: A functional approach for image and signal processingCabrelli, C.A.Falsetti, M.C.Molter, U.M.Block-codingFixed pointsFractal compressionFunctional equationGrey-level functionsSelf-similarityFractal compressionApproximation theoryBlock codesDigital signal processingFractalsImage reconstructionMathematical operatorsTheorem provingImage codingA 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.2002info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_CabrelliComput Math Appl 2002;44(8-9):1183-1200reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:43:06Zpaperaa:paper_08981221_v44_n8-9_p1183_CabrelliInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:43:07.533Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Fractal block-coding: A functional approach for image and signal processing
title Fractal block-coding: A functional approach for image and signal processing
spellingShingle Fractal block-coding: A functional approach for image and signal processing
Cabrelli, C.A.
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
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
dc.creator.none.fl_str_mv Cabrelli, C.A.
Falsetti, M.C.
Molter, U.M.
author Cabrelli, C.A.
author_facet Cabrelli, C.A.
Falsetti, M.C.
Molter, U.M.
author_role author
author2 Falsetti, M.C.
Molter, U.M.
author2_role author
author
dc.subject.none.fl_str_mv 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
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
dc.description.none.fl_txt_mv 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.
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.
publishDate 2002
dc.date.none.fl_str_mv 2002
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_Cabrelli
url http://hdl.handle.net/20.500.12110/paper_08981221_v44_n8-9_p1183_Cabrelli
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Comput Math Appl 2002;44(8-9):1183-1200
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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score 13.070432

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