Title :
Acoustic image reconstruction by Markov random fields
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
fDate :
3/28/1996 12:00:00 AM
Abstract :
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
Keywords :
Markov processes; acoustic imaging; image reconstruction; probability; underwater sound; Markov random fields; acoustic image reconstruction; beamforming process; noisy underwater 3D acoustic images; optimal estimation; probability distributions; single energy functional;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19960406
