DocumentCode
3365370
Title
Restoration of noisy images blurred by a random medium
Author
Bilgen, Mehmet ; Brockman, William H.
Author_Institution
Iowa State Univ., Ames, IA, USA
fYear
1992
fDate
14-17 Jun 1992
Firstpage
250
Lastpage
256
Abstract
An image restoration model is given to restore images blurred by a random medium. The overall distortion process caused by the random medium is represented by a stochastic point spread function. To estimate the original images degraded by this model, two restoration algorithms are formulated based on the Wiener filter and the constrained least-squares filter. Computer simulations are included to compare the performances of the proposed algorithms with the conventional ones
Keywords
digital simulation; filtering and prediction theory; image reconstruction; least squares approximations; random noise; stochastic processes; Wiener filter; algorithm performance; blurred images; computer simulations; constrained least-squares filter; distortion; image degradation; image restoration model; noisy images; random medium; stochastic point spread function; Additive noise; Computer simulation; Degradation; Image restoration; Optical distortion; Optical imaging; Optical noise; Signal restoration; Stochastic processes; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
Conference_Location
Durham, NC
Print_ISBN
0-8186-2742-5
Type
conf
DOI
10.1109/CBMS.1992.244941
Filename
244941
Link To Document