Optimal image quantization, perception and the median cut algorithm

Detalhes bibliográficos
Autor(a) principal: MOTA,CICERO
Data de Publicação: 2001
Outros Autores: GOMES,JONAS, CAVALCANTE,MARIA I. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652001000300001
Resumo: We study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that quantization using histogram equalization provides optimal perceptual results. This fact is well known and widely used but, to our knowledge, a proof has never appeared on the literature of image processing.
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spelling Optimal image quantization, perception and the median cut algorithmImage quantizationcolor quantizationoptimizationmedian cutinformation theoryWe study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that quantization using histogram equalization provides optimal perceptual results. This fact is well known and widely used but, to our knowledge, a proof has never appeared on the literature of image processing.Academia Brasileira de Ciências2001-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652001000300001Anais da Academia Brasileira de Ciências v.73 n.3 2001reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652001000300001info:eu-repo/semantics/openAccessMOTA,CICEROGOMES,JONASCAVALCANTE,MARIA I. A.eng2001-10-05T00:00:00Zoai:scielo:S0001-37652001000300001Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2001-10-05T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Optimal image quantization, perception and the median cut algorithm
title Optimal image quantization, perception and the median cut algorithm
spellingShingle Optimal image quantization, perception and the median cut algorithm
MOTA,CICERO
Image quantization
color quantization
optimization
median cut
information theory
title_short Optimal image quantization, perception and the median cut algorithm
title_full Optimal image quantization, perception and the median cut algorithm
title_fullStr Optimal image quantization, perception and the median cut algorithm
title_full_unstemmed Optimal image quantization, perception and the median cut algorithm
title_sort Optimal image quantization, perception and the median cut algorithm
author MOTA,CICERO
author_facet MOTA,CICERO
GOMES,JONAS
CAVALCANTE,MARIA I. A.
author_role author
author2 GOMES,JONAS
CAVALCANTE,MARIA I. A.
author2_role author
author
dc.contributor.author.fl_str_mv MOTA,CICERO
GOMES,JONAS
CAVALCANTE,MARIA I. A.
dc.subject.por.fl_str_mv Image quantization
color quantization
optimization
median cut
information theory
topic Image quantization
color quantization
optimization
median cut
information theory
description We study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that quantization using histogram equalization provides optimal perceptual results. This fact is well known and widely used but, to our knowledge, a proof has never appeared on the literature of image processing.
publishDate 2001
dc.date.none.fl_str_mv 2001-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652001000300001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652001000300001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0001-37652001000300001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.73 n.3 2001
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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