Improvement of a Parallel System for Image Processing

Autores
Guerrero, Roberto A.; Printista, Alicia Marcela; Piccoli, María Fabiana
Año de publicación
1998
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Digital images are digital signals captured through different means. Sometimes these captured images contain variations combined with the original signal, this variations are called noise. Echo is a particular kind of noise with characteristics that turns it into a very interesting problem to solve. The echo detection process and its subsequent elimination from a digital Image involves extensive mathematical calculations. Differents Parallel approaches taking advantage of new architectures can be implemented to solve this problem. Nevertheless these approaches have time depending characteristics, so the Processing time is still the critical point. One improved version of a Parallel one may be implemented by using a different algorithm and some other techniques that much more reduce the Processing time. In this work, the authors discuss their earlier work, the present approach and the future directions of this experimental application. Finally the resulting values are sketched.
Sistemas Distribuidos - Redes Concurrencia
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Informática
homomorphics systems
fourier transform
cepstrum
convolution
parallel models
system arquitecture
System architectures
Parallel processing
Image display
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24255
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/24255
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Improvement of a Parallel System for Image ProcessingGuerrero, Roberto A.Printista, Alicia MarcelaPiccoli, María FabianaCiencias InformáticasInformáticahomomorphics systemsfourier transformcepstrumconvolutionparallel modelssystem arquitectureSystem architecturesParallel processingImage displayDigital images are digital signals captured through different means. Sometimes these captured images contain variations combined with the original signal, this variations are called noise. Echo is a particular kind of noise with characteristics that turns it into a very interesting problem to solve. The echo detection process and its subsequent elimination from a digital Image involves extensive mathematical calculations. Differents Parallel approaches taking advantage of new architectures can be implemented to solve this problem. Nevertheless these approaches have time depending characteristics, so the Processing time is still the critical point. One improved version of a Parallel one may be implemented by using a different algorithm and some other techniques that much more reduce the Processing time. In this work, the authors discuss their earlier work, the present approach and the future directions of this experimental application. Finally the resulting values are sketched.Sistemas Distribuidos - Redes ConcurrenciaRed de Universidades con Carreras en Informática (RedUNCI)1998-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24255enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:46Zoai:sedici.unlp.edu.ar:10915/24255Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:46.406SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Improvement of a Parallel System for Image Processing
title Improvement of a Parallel System for Image Processing
spellingShingle Improvement of a Parallel System for Image Processing
Guerrero, Roberto A.
Ciencias Informáticas
Informática
homomorphics systems
fourier transform
cepstrum
convolution
parallel models
system arquitecture
System architectures
Parallel processing
Image display
title_short Improvement of a Parallel System for Image Processing
title_full Improvement of a Parallel System for Image Processing
title_fullStr Improvement of a Parallel System for Image Processing
title_full_unstemmed Improvement of a Parallel System for Image Processing
title_sort Improvement of a Parallel System for Image Processing
dc.creator.none.fl_str_mv Guerrero, Roberto A.
Printista, Alicia Marcela
Piccoli, María Fabiana
author Guerrero, Roberto A.
author_facet Guerrero, Roberto A.
Printista, Alicia Marcela
Piccoli, María Fabiana
author_role author
author2 Printista, Alicia Marcela
Piccoli, María Fabiana
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Informática
homomorphics systems
fourier transform
cepstrum
convolution
parallel models
system arquitecture
System architectures
Parallel processing
Image display
topic Ciencias Informáticas
Informática
homomorphics systems
fourier transform
cepstrum
convolution
parallel models
system arquitecture
System architectures
Parallel processing
Image display
dc.description.none.fl_txt_mv Digital images are digital signals captured through different means. Sometimes these captured images contain variations combined with the original signal, this variations are called noise. Echo is a particular kind of noise with characteristics that turns it into a very interesting problem to solve. The echo detection process and its subsequent elimination from a digital Image involves extensive mathematical calculations. Differents Parallel approaches taking advantage of new architectures can be implemented to solve this problem. Nevertheless these approaches have time depending characteristics, so the Processing time is still the critical point. One improved version of a Parallel one may be implemented by using a different algorithm and some other techniques that much more reduce the Processing time. In this work, the authors discuss their earlier work, the present approach and the future directions of this experimental application. Finally the resulting values are sketched.
Sistemas Distribuidos - Redes Concurrencia
Red de Universidades con Carreras en Informática (RedUNCI)
description Digital images are digital signals captured through different means. Sometimes these captured images contain variations combined with the original signal, this variations are called noise. Echo is a particular kind of noise with characteristics that turns it into a very interesting problem to solve. The echo detection process and its subsequent elimination from a digital Image involves extensive mathematical calculations. Differents Parallel approaches taking advantage of new architectures can be implemented to solve this problem. Nevertheless these approaches have time depending characteristics, so the Processing time is still the critical point. One improved version of a Parallel one may be implemented by using a different algorithm and some other techniques that much more reduce the Processing time. In this work, the authors discuss their earlier work, the present approach and the future directions of this experimental application. Finally the resulting values are sketched.
publishDate 1998
dc.date.none.fl_str_mv 1998-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24255
url http://sedici.unlp.edu.ar/handle/10915/24255
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-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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