Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction
- Autores
- Roitman, Gustavo A.; Cernuschi-Frias, Bruno
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this work we conceive centralized data fusion as a deterministic parameter estimation problem. Two different criterions are compared: best affine unbiased fusion rule (BAUE), and Maximum Likelihood for Gaussian measurement noise. Estimates are described in terms of their covariance matrices, the Cramer-Rao lower bound and simulations. The developed fusion rules are suited to two different image fusion cases: noise reduction under differently exposed images, and blur reduction based on lens response knowledge.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
multi-sensor fusion
image fusion
BAUE
maximum likelihood
MMSE estimation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/153582
Ver los metadatos del registro completo
id |
SEDICI_014e38dda5499987043d6ad6761a129c |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/153582 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reductionRoitman, Gustavo A.Cernuschi-Frias, BrunoCiencias Informáticasmulti-sensor fusionimage fusionBAUEmaximum likelihoodMMSE estimationIn this work we conceive centralized data fusion as a deterministic parameter estimation problem. Two different criterions are compared: best affine unbiased fusion rule (BAUE), and Maximum Likelihood for Gaussian measurement noise. Estimates are described in terms of their covariance matrices, the Cramer-Rao lower bound and simulations. The developed fusion rules are suited to two different image fusion cases: noise reduction under differently exposed images, and blur reduction based on lens response knowledge.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1551-1562http://sedici.unlp.edu.ar/handle/10915/153582enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:39:22Zoai:sedici.unlp.edu.ar:10915/153582Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:39:22.785SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
title |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
spellingShingle |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction Roitman, Gustavo A. Ciencias Informáticas multi-sensor fusion image fusion BAUE maximum likelihood MMSE estimation |
title_short |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
title_full |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
title_fullStr |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
title_full_unstemmed |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
title_sort |
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction |
dc.creator.none.fl_str_mv |
Roitman, Gustavo A. Cernuschi-Frias, Bruno |
author |
Roitman, Gustavo A. |
author_facet |
Roitman, Gustavo A. Cernuschi-Frias, Bruno |
author_role |
author |
author2 |
Cernuschi-Frias, Bruno |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas multi-sensor fusion image fusion BAUE maximum likelihood MMSE estimation |
topic |
Ciencias Informáticas multi-sensor fusion image fusion BAUE maximum likelihood MMSE estimation |
dc.description.none.fl_txt_mv |
In this work we conceive centralized data fusion as a deterministic parameter estimation problem. Two different criterions are compared: best affine unbiased fusion rule (BAUE), and Maximum Likelihood for Gaussian measurement noise. Estimates are described in terms of their covariance matrices, the Cramer-Rao lower bound and simulations. The developed fusion rules are suited to two different image fusion cases: noise reduction under differently exposed images, and blur reduction based on lens response knowledge. Sociedad Argentina de Informática e Investigación Operativa |
description |
In this work we conceive centralized data fusion as a deterministic parameter estimation problem. Two different criterions are compared: best affine unbiased fusion rule (BAUE), and Maximum Likelihood for Gaussian measurement noise. Estimates are described in terms of their covariance matrices, the Cramer-Rao lower bound and simulations. The developed fusion rules are suited to two different image fusion cases: noise reduction under differently exposed images, and blur reduction based on lens response knowledge. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/153582 |
url |
http://sedici.unlp.edu.ar/handle/10915/153582 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf info:eu-repo/semantics/altIdentifier/issn/1850-2806 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 1551-1562 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1844616267882823680 |
score |
13.070432 |