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dc.date.accessioned 2023-05-29T17:49:14Z
dc.date.available 2023-05-29T17:49:14Z
dc.date.issued 2010
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/153582
dc.description.abstract 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. en
dc.format.extent 1551-1562 es
dc.language en es
dc.subject multi-sensor fusion es
dc.subject image fusion es
dc.subject BAUE es
dc.subject maximum likelihood es
dc.subject MMSE estimation es
dc.title Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction en
dc.type Objeto de conferencia es
sedici.identifier.uri http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf es
sedici.identifier.issn 1850-2806 es
sedici.creator.person Roitman, Gustavo A. es
sedici.creator.person Cernuschi-Frias, Bruno es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2010
sedici.relation.event Simposio Argentino de Tecnología (AST 2010) - JAIIO 39 (UADE, 30 de agosto al 3 de septiembre de 2010) es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)