DocumentCode :
933967
Title :
Blind deconvolution through digital signal processing
Author :
Stockham, Thomas G., Jr. ; Cannon, Thomas M. ; Ingebretsen, Robert B.
Author_Institution :
University of Utah, Salt Lake City, Utah
Volume :
63
Issue :
4
fYear :
1975
fDate :
4/1/1975 12:00:00 AM
Firstpage :
678
Lastpage :
692
Abstract :
This paper addresses the problem of deconvolving two signals when both are unknown. The authors call this problem blind deconvolution. The discussion develops two related solutions which can be applied through digital signal processing in certain practical cases. The case of reverberated and resonated sound forms the center of the development. The specific problem of restoring old acoustic recordings provides an experimental test. The important effects of noise and non-stationary signals lead to the detailed part of the presentation. In addition, the paper presents results for the case of images degraded by some common forms of blur.
Keywords :
Acoustic noise; Acoustic testing; Cities and towns; Convolution; Deconvolution; Degradation; Digital signal processing; Image restoration; Signal processing; Signal restoration;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1975.9800
Filename :
1451730
Link To Document :
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