Quality analysis for coded images with loss

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 th...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ramón, Hugo Dionisio, Russo, Claudia Cecilia, De Giusti, Armando Eduardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2000
Materias:
Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23613
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23613
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
spellingShingle Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
Ramón, Hugo Dionisio
Russo, Claudia Cecilia
De Giusti, Armando Eduardo
Quality analysis for coded images with loss
topic_facet Ciencias Informáticas
JPG
subjective model
statistics
histogram
Compression (Coding)
Digitization and Image Capture
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
format Objeto de conferencia
Objeto de conferencia
author Ramón, Hugo Dionisio
Russo, Claudia Cecilia
De Giusti, Armando Eduardo
author_facet Ramón, Hugo Dionisio
Russo, Claudia Cecilia
De Giusti, Armando Eduardo
author_sort Ramón, Hugo Dionisio
title Quality analysis for coded images with loss
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
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/23613
work_keys_str_mv AT ramonhugodionisio qualityanalysisforcodedimageswithloss
AT russoclaudiacecilia qualityanalysisforcodedimageswithloss
AT degiustiarmandoeduardo qualityanalysisforcodedimageswithloss
bdutipo_str Repositorios
_version_ 1764820466035326976

Ejemplares similares