Title :
Noise mitigation and extraction of scatters in acoustic imaging by compressed sensing
Author :
Yun Lu ; Statz, Christoph ; Mutze, Marco ; Hegler, Sebastian ; Plettemeier, Dirk
Author_Institution :
Tech. Univ. Dresden, Dresden, Germany
Abstract :
In order to maintain the theoretical limit of resolution in acoustic imaging for noisy data gathered in a material examination application we propose the application of compressed sensing (CS) on the reconstructed image. CS will mitigate the effects of noise in the reconstruction process and enable the extraction of location and estimated size of scatters to enhance the initial velocity model.
Keywords :
acoustic imaging; acoustic noise; acoustic imaging; compressed sensing; initial velocity model; noise extraction; noise mitigation; reconstruction process; Acoustics; Compressed sensing; Image resolution; Imaging; Materials; Noise; Noise measurement;
Conference_Titel :
Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 2013 XVIIIth International Seminar/Workshop on
Conference_Location :
Lviv
Print_ISBN :
978-966-02-6765-7
