Distributed fusion filter for systems with multiplicative noise

Authors:
M. J. García-Ligero;A. Hermoso-Carazo;J. Linares-Pérez
Affiliations:
Universidad de Granada, Department of Statistics, Granada, Spain;Universidad de Granada, Department of Statistics, Granada, Spain;Universidad de Granada, Department of Statistics, Granada, Spain
Venue:
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2009

Citing 3
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Abstract

The estimation problem of a degraded image from observations acquired from multiple sensors is addressed when the degradations of the image are modeled by white multiplicative and additive noises. Assuming the image model is unknown, we derive the distributed filtering algorithm using the information provided by the covariance functions of the processes involved in the measurement equation.