Error analysis in lossy compressed image transmission algorithms

There is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test the use of different objective measurements in order to forecast an image subject...

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Bibliographic Details
Main Author: Hugo Dionisio Ramón
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2002-05-01
Series:Journal of Computer Science and Technology
Subjects:
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/975
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spelling doaj-e9791783ebc44045a940f2e24f15fc212021-05-05T14:41:18ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382002-05-011062 p.2 p.668Error analysis in lossy compressed image transmission algorithmsHugo Dionisio Ramón0Facultad de Informática, Universidad Nacional de La Plata, La Plata, ArgentinaThere is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test the use of different objective measurements in order to forecast an image subjective quality.https://journal.info.unlp.edu.ar/JCST/article/view/975imagen digitalíndice de compresión
collection DOAJ
language English
format Article
sources DOAJ
author Hugo Dionisio Ramón
spellingShingle Hugo Dionisio Ramón
Error analysis in lossy compressed image transmission algorithms
Journal of Computer Science and Technology
imagen digital
índice de compresión
author_facet Hugo Dionisio Ramón
author_sort Hugo Dionisio Ramón
title Error analysis in lossy compressed image transmission algorithms
title_short Error analysis in lossy compressed image transmission algorithms
title_full Error analysis in lossy compressed image transmission algorithms
title_fullStr Error analysis in lossy compressed image transmission algorithms
title_full_unstemmed Error analysis in lossy compressed image transmission algorithms
title_sort error analysis in lossy compressed image transmission algorithms
publisher Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
series Journal of Computer Science and Technology
issn 1666-6046
1666-6038
publishDate 2002-05-01
description There is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test the use of different objective measurements in order to forecast an image subjective quality.
topic imagen digital
índice de compresión
url https://journal.info.unlp.edu.ar/JCST/article/view/975
work_keys_str_mv AT hugodionisioramon erroranalysisinlossycompressedimagetransmissionalgorithms
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