Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction

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...

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Detalles Bibliográficos
Autores principales: Roitman, Gustavo A., Cernuschi-Frias, Bruno
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
multi-sensor fusion
image fusion
BAUE
maximum likelihood
MMSE estimation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/153582
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
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spelling I19-R120-10915-1535822023-05-29T20:04:05Z http://sedici.unlp.edu.ar/handle/10915/153582 http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf issn:1850-2806 Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction Roitman, Gustavo A. Cernuschi-Frias, Bruno 2010 2010 2023-05-29T17:49:14Z en Ciencias Informáticas multi-sensor fusion image fusion BAUE maximum likelihood MMSE estimation 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 1551-1562
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
multi-sensor fusion
image fusion
BAUE
maximum likelihood
MMSE estimation
spellingShingle Ciencias Informáticas
multi-sensor fusion
image fusion
BAUE
maximum likelihood
MMSE estimation
Roitman, Gustavo A.
Cernuschi-Frias, Bruno
Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction
topic_facet Ciencias Informáticas
multi-sensor fusion
image fusion
BAUE
maximum likelihood
MMSE estimation
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.
format Objeto de conferencia
Objeto de conferencia
author Roitman, Gustavo A.
Cernuschi-Frias, Bruno
author_facet Roitman, Gustavo A.
Cernuschi-Frias, Bruno
author_sort Roitman, Gustavo A.
title Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction
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
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/153582
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf
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AT cernuschifriasbruno datafusionbaueestimationofadeterministicvectorapplicationstoimagenoiseandblurreduction
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