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Restoration of noisy images blurred by a random medium

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2 Author(s)
M. Bilgen ; Iowa State Univ., Ames, IA, USA ; W. H. Brockman

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

Published in:

Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on

Date of Conference:

14-17 Jun 1992