An image quality index based on coefficients of spatial association with an application to image fusion
- Autores
- Ojeda, Silvia; Britos, Grisel Maribel; Vallejos, Ronny
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association between two processes has also been used for this aim. Here we introduce an image quality index (CQmax) that is based on codispersion. This new coefficient is a directional evaluation of the spatial association, and consists of computing the maximum codispersion for a finite set of spatial lags on the plane, which also allows to obtain the direction associated with the maximum codispersion. From the CQmax index, a pseudo-metric that can be used as a cost functional for related optimization problems is defined. We carry out Monte Carlo simulations to explore the performance of the proposed index and its capability to detect directional contaminations. Additionally, we introduce a novel algorithm to restore directionally contaminated images and present an application with real data in the context of image fusion.
Fil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Britos, Grisel Maribel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina
Fil: Vallejos, Ronny. Universidad Técnica Federico Santa María; Chile - Materia
-
CQMAX INDEX
IMAGE FUSION
IMAGE SIMILARITY
SPATIAL LAG
SSIM INDEX - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/63019
Ver los metadatos del registro completo
id |
CONICETDig_fecfdbd7c3504a2c670d30f78bd60007 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/63019 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
An image quality index based on coefficients of spatial association with an application to image fusionOjeda, SilviaBritos, Grisel MaribelVallejos, RonnyCQMAX INDEXIMAGE FUSIONIMAGE SIMILARITYSPATIAL LAGSSIM INDEXhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association between two processes has also been used for this aim. Here we introduce an image quality index (CQmax) that is based on codispersion. This new coefficient is a directional evaluation of the spatial association, and consists of computing the maximum codispersion for a finite set of spatial lags on the plane, which also allows to obtain the direction associated with the maximum codispersion. From the CQmax index, a pseudo-metric that can be used as a cost functional for related optimization problems is defined. We carry out Monte Carlo simulations to explore the performance of the proposed index and its capability to detect directional contaminations. Additionally, we introduce a novel algorithm to restore directionally contaminated images and present an application with real data in the context of image fusion.Fil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Britos, Grisel Maribel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; ArgentinaFil: Vallejos, Ronny. Universidad Técnica Federico Santa María; ChileElsevier2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/63019Ojeda, Silvia; Britos, Grisel Maribel; Vallejos, Ronny; An image quality index based on coefficients of spatial association with an application to image fusion; Elsevier; Spatial Statistics; 23; 3-2018; 1-162211-6753CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.spasta.2017.11.003info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2211675317301975info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:06Zoai:ri.conicet.gov.ar:11336/63019instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:07.145CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
An image quality index based on coefficients of spatial association with an application to image fusion |
title |
An image quality index based on coefficients of spatial association with an application to image fusion |
spellingShingle |
An image quality index based on coefficients of spatial association with an application to image fusion Ojeda, Silvia CQMAX INDEX IMAGE FUSION IMAGE SIMILARITY SPATIAL LAG SSIM INDEX |
title_short |
An image quality index based on coefficients of spatial association with an application to image fusion |
title_full |
An image quality index based on coefficients of spatial association with an application to image fusion |
title_fullStr |
An image quality index based on coefficients of spatial association with an application to image fusion |
title_full_unstemmed |
An image quality index based on coefficients of spatial association with an application to image fusion |
title_sort |
An image quality index based on coefficients of spatial association with an application to image fusion |
dc.creator.none.fl_str_mv |
Ojeda, Silvia Britos, Grisel Maribel Vallejos, Ronny |
author |
Ojeda, Silvia |
author_facet |
Ojeda, Silvia Britos, Grisel Maribel Vallejos, Ronny |
author_role |
author |
author2 |
Britos, Grisel Maribel Vallejos, Ronny |
author2_role |
author author |
dc.subject.none.fl_str_mv |
CQMAX INDEX IMAGE FUSION IMAGE SIMILARITY SPATIAL LAG SSIM INDEX |
topic |
CQMAX INDEX IMAGE FUSION IMAGE SIMILARITY SPATIAL LAG SSIM INDEX |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association between two processes has also been used for this aim. Here we introduce an image quality index (CQmax) that is based on codispersion. This new coefficient is a directional evaluation of the spatial association, and consists of computing the maximum codispersion for a finite set of spatial lags on the plane, which also allows to obtain the direction associated with the maximum codispersion. From the CQmax index, a pseudo-metric that can be used as a cost functional for related optimization problems is defined. We carry out Monte Carlo simulations to explore the performance of the proposed index and its capability to detect directional contaminations. Additionally, we introduce a novel algorithm to restore directionally contaminated images and present an application with real data in the context of image fusion. Fil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Britos, Grisel Maribel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina Fil: Vallejos, Ronny. Universidad Técnica Federico Santa María; Chile |
description |
In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association between two processes has also been used for this aim. Here we introduce an image quality index (CQmax) that is based on codispersion. This new coefficient is a directional evaluation of the spatial association, and consists of computing the maximum codispersion for a finite set of spatial lags on the plane, which also allows to obtain the direction associated with the maximum codispersion. From the CQmax index, a pseudo-metric that can be used as a cost functional for related optimization problems is defined. We carry out Monte Carlo simulations to explore the performance of the proposed index and its capability to detect directional contaminations. Additionally, we introduce a novel algorithm to restore directionally contaminated images and present an application with real data in the context of image fusion. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/63019 Ojeda, Silvia; Britos, Grisel Maribel; Vallejos, Ronny; An image quality index based on coefficients of spatial association with an application to image fusion; Elsevier; Spatial Statistics; 23; 3-2018; 1-16 2211-6753 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/63019 |
identifier_str_mv |
Ojeda, Silvia; Britos, Grisel Maribel; Vallejos, Ronny; An image quality index based on coefficients of spatial association with an application to image fusion; Elsevier; Spatial Statistics; 23; 3-2018; 1-16 2211-6753 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.spasta.2017.11.003 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2211675317301975 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613987072737280 |
score |
13.070432 |