Title :
Deconvolution of plenacoustic images
Author :
Bianchi, Luigi ; Markovic, Dejan ; Antonacci, F. ; Sarti, A. ; Tubaro, S.
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Abstract :
In this paper we propose a methodology aimed at improving the resolution capabilities of plenacoustic imaging, which is based on deconvolution techniques mutuated from aerospace acoustic imaging. In order to reduce the computational burden, we also propose a modification of the minimization problem that exploits the highly structured information contained in the plenacoustic image. Experiments and simulations show the improvement of the accuracy gained by applying the deconvolution operator.
Keywords :
acoustic imaging; covariance matrices; deconvolution; image resolution; aerospace acoustic imaging; covariance matrix fitting technique; deconvolution operator; minimization problem; plenacoustic image deconvolution techniques; plenacoustic imaging resolution capability; Acoustics; Arrays; Covariance matrices; Deconvolution; Imaging; Microphones; Sensors; Plenacoustic imaging; acoustic imaging; deconvolution; microphone array;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013 IEEE Workshop on
Conference_Location :
New Paltz, NY
DOI :
10.1109/WASPAA.2013.6701850