| dc.creator | Roitman, Gustavo A. | |
| dc.creator | Cernuschi-Frias, Bruno | |
| dc.date | 2010 | |
| dc.date | 2010 | |
| dc.date | 2023-05-29T17:49:14Z | |
| dc.date.accessioned | 2023-07-15T10:24:37Z | |
| dc.date.available | 2023-07-15T10:24:37Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/153582 | |
| dc.identifier | http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-03.pdf | |
| dc.identifier | issn:1850-2806 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7491762 | |
| dc.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. | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa | |
| dc.format | application/pdf | |
| dc.format | 1551-1562 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | multi-sensor fusion | |
| dc.subject | image fusion | |
| dc.subject | BAUE | |
| dc.subject | maximum likelihood | |
| dc.subject | MMSE estimation | |
| dc.title | Data Fusion BAUE Estimation of a deterministic vector, applications to image noise and blur reduction | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
