Title :
Restoration of noisy images blurred by a random medium
Author :
Bilgen, Mehmet ; Brockman, William H.
Author_Institution :
Iowa State Univ., Ames, IA, USA
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;
Conference_Titel :
Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-2742-5
DOI :
10.1109/CBMS.1992.244941
