DocumentCode
2058880
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
fYear
2013
fDate
23-26 Sept. 2013
Firstpage
215
Lastpage
218
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 2013 XVIIIth International Seminar/Workshop on
Conference_Location
Lviv
ISSN
2165-3585
Print_ISBN
978-966-02-6765-7
Type
conf
Filename
6653873
Link To Document