Quality analysis for coded images with loss

Autores
Ramón, Hugo Dionisio; Russo, Claudia Cecilia; De Giusti, Armando Eduardo
Año de publicación
2000
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A considerable compression rate can only be achieved by means of algorithms with loss, which means that it is not possible to recover the exact original image. This loss of information may have a direct relation to the loss of quality, as well as cause problems related to reliability depending on the area of the application. The main question to answer is: How do we decide that an image compressed with loss is suitable to be used for a given application? This question is answered by defining a subjective quality assessment and then relating it to objective values in order to find - by means of a statistic analysis of the data - a relationship between quality and compression ratio. In particular, the incidence of the type of histogram and its relation to subjective loss and compression ratio are studied. This paper is related to the Magister Thesis “Análisis del Error en Algoritmos de Transmisión de Imágenes Comprimidas con Pérdida” ("Error Analysis in Transmission Algorithms of Images Compressed with Loss") by Lic. Ramón
Área: Procesamiento de Imágenes - Tratamiento de Señales - Computación Gráfica - Visualización
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
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:10915/23613
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23613
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Quality analysis for coded images with lossRamón, Hugo DionisioRusso, Claudia CeciliaDe Giusti, Armando EduardoCiencias InformáticasJPGsubjective modelstatisticshistogramCompression (Coding)Digitization and Image CaptureA considerable compression rate can only be achieved by means of algorithms with loss, which means that it is not possible to recover the exact original image. This loss of information may have a direct relation to the loss of quality, as well as cause problems related to reliability depending on the area of the application. The main question to answer is: How do we decide that an image compressed with loss is suitable to be used for a given application? This question is answered by defining a subjective quality assessment and then relating it to objective values in order to find - by means of a statistic analysis of the data - a relationship between quality and compression ratio. In particular, the incidence of the type of histogram and its relation to subjective loss and compression ratio are studied. This paper is related to the Magister Thesis “Análisis del Error en Algoritmos de Transmisión de Imágenes Comprimidas con Pérdida” ("Error Analysis in Transmission Algorithms of Images Compressed with Loss") by Lic. RamónÁrea: Procesamiento de Imágenes - Tratamiento de Señales - Computación Gráfica - VisualizaciónRed de Universidades con Carreras en Informática (RedUNCI)2000-10info: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/10915/23613enginfo: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:UNLP2025-10-15T10:48:09Zoai:sedici.unlp.edu.ar:10915/23613Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:09.693SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Quality analysis for coded images with loss
title Quality analysis for coded images with loss
spellingShingle Quality analysis for coded images with loss
Ramón, Hugo Dionisio
Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
title_short Quality analysis for coded images with loss
title_full Quality analysis for coded images with loss
title_fullStr Quality analysis for coded images with loss
title_full_unstemmed Quality analysis for coded images with loss
title_sort Quality analysis for coded images with loss
dc.creator.none.fl_str_mv Ramón, Hugo Dionisio
Russo, Claudia Cecilia
De Giusti, Armando Eduardo
author Ramón, Hugo Dionisio
author_facet Ramón, Hugo Dionisio
Russo, Claudia Cecilia
De Giusti, Armando Eduardo
author_role author
author2 Russo, Claudia Cecilia
De Giusti, Armando Eduardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
topic Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
dc.description.none.fl_txt_mv A considerable compression rate can only be achieved by means of algorithms with loss, which means that it is not possible to recover the exact original image. This loss of information may have a direct relation to the loss of quality, as well as cause problems related to reliability depending on the area of the application. The main question to answer is: How do we decide that an image compressed with loss is suitable to be used for a given application? This question is answered by defining a subjective quality assessment and then relating it to objective values in order to find - by means of a statistic analysis of the data - a relationship between quality and compression ratio. In particular, the incidence of the type of histogram and its relation to subjective loss and compression ratio are studied. This paper is related to the Magister Thesis “Análisis del Error en Algoritmos de Transmisión de Imágenes Comprimidas con Pérdida” ("Error Analysis in Transmission Algorithms of Images Compressed with Loss") by Lic. Ramón
Área: Procesamiento de Imágenes - Tratamiento de Señales - Computación Gráfica - Visualización
Red de Universidades con Carreras en Informática (RedUNCI)
description A considerable compression rate can only be achieved by means of algorithms with loss, which means that it is not possible to recover the exact original image. This loss of information may have a direct relation to the loss of quality, as well as cause problems related to reliability depending on the area of the application. The main question to answer is: How do we decide that an image compressed with loss is suitable to be used for a given application? This question is answered by defining a subjective quality assessment and then relating it to objective values in order to find - by means of a statistic analysis of the data - a relationship between quality and compression ratio. In particular, the incidence of the type of histogram and its relation to subjective loss and compression ratio are studied. This paper is related to the Magister Thesis “Análisis del Error en Algoritmos de Transmisión de Imágenes Comprimidas con Pérdida” ("Error Analysis in Transmission Algorithms of Images Compressed with Loss") by Lic. Ramón
publishDate 2000
dc.date.none.fl_str_mv 2000-10
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/10915/23613
url http://sedici.unlp.edu.ar/handle/10915/23613
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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