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Acoustic image reconstruction by Markov random fields

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1 Author(s)
Murino, V. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

The author describes a method for the reconstruction of noisy underwater 3-D acoustic images. Depth and related confidence maps, obtained by a beamforming process, are modelled as Markov random fields. The probability distributions of the fields are specified by a single energy functional to be minimised for the optimal estimation

Published in:

Electronics Letters  (Volume:32 ,  Issue: 7 )

Date of Publication:

28 Mar 1996

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