A comparative study of color quantization methods using various image quality assessment indices

Financiación de acceso abierto proporcionada por los Fondos Europeos FEDER y la Junta de Castilla y León en el marco de la Estrategia de Investigación e Innovación para la Especialización Inteligente (RIS3) de Castilla y León 2021-2027.

Detalles Bibliográficos
Autores: Pérez Delgado, María Luisa, Celebi, M. Emre
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/160752
Acceso en línea:http://hdl.handle.net/10366/160752
Access Level:acceso abierto
Palabra clave:Color quantization
Image quality assessment
Image processing
Color image
id ES_dc871271e95b67cbb0d2e7c6c8147c84
oai_identifier_str oai:gredos.usal.es:10366/160752
network_acronym_str ES
network_name_str España
repository_id_str
spelling A comparative study of color quantization methods using various image quality assessment indicesPérez Delgado, María LuisaCelebi, M. EmreColor quantizationImage quality assessmentImage processingColor imageFinanciación de acceso abierto proporcionada por los Fondos Europeos FEDER y la Junta de Castilla y León en el marco de la Estrategia de Investigación e Innovación para la Especialización Inteligente (RIS3) de Castilla y León 2021-2027.[EN]This article analyzes various color quantization methods using multiple image quality assessment indices. Experiments were conducted with ten color quantization methods and eight image quality indices on a dataset containing 100 RGB color images. The set of color quantization methods selected for this study includes well-known methods used by many researchers as a baseline against which to compare new methods. On the other hand, the image quality assessment indices selected are the following: mean squared error, mean absolute error, peak signal-to-noise ratio, structural similarity index, multi-scale structural similarity index, visual information fidelity index, universal image quality index, and spectral angle mapper index. The selected indices not only include the most popular indices in the color quantization literature but also more recent ones that have not yet been adopted in the aforementioned literature. The analysis of the results indicates that the conventional assessment indices used in the color quantization literature generate different results from those obtained by newer indices that take into account the visual characteristics of the images. Therefore, when comparing color quantization methods, it is recommended not to use a single index based solely on pixelwise comparisons, as is the case with most studies to date, but rather to use several indices that consider the various characteristics of the human visual system.Trabajo financiado por: - Fundación Memoria de Don Samuel Solórzano Barruso de la Universidad de Salamanca (FS/212020) - National Science Foundation of the United States (IOA-1946391)Springer202420242024info:eu-repo/semantics/articlehttp://hdl.handle.net/10366/160752reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésFS/212020Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1607522026-06-07T06:28:51Z
dc.title.none.fl_str_mv A comparative study of color quantization methods using various image quality assessment indices
title A comparative study of color quantization methods using various image quality assessment indices
spellingShingle A comparative study of color quantization methods using various image quality assessment indices
Pérez Delgado, María Luisa
Color quantization
Image quality assessment
Image processing
Color image
title_short A comparative study of color quantization methods using various image quality assessment indices
title_full A comparative study of color quantization methods using various image quality assessment indices
title_fullStr A comparative study of color quantization methods using various image quality assessment indices
title_full_unstemmed A comparative study of color quantization methods using various image quality assessment indices
title_sort A comparative study of color quantization methods using various image quality assessment indices
dc.creator.none.fl_str_mv Pérez Delgado, María Luisa
Celebi, M. Emre
author Pérez Delgado, María Luisa
author_facet Pérez Delgado, María Luisa
Celebi, M. Emre
author_role author
author2 Celebi, M. Emre
author2_role author
dc.subject.none.fl_str_mv Color quantization
Image quality assessment
Image processing
Color image
topic Color quantization
Image quality assessment
Image processing
Color image
description Financiación de acceso abierto proporcionada por los Fondos Europeos FEDER y la Junta de Castilla y León en el marco de la Estrategia de Investigación e Innovación para la Especialización Inteligente (RIS3) de Castilla y León 2021-2027.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/160752
url http://hdl.handle.net/10366/160752
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv FS/212020
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421776894689280
score 15,811543

Similares en LA Referencia