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From: rogerh@arizona.edu (Roger Hayes)
Newsgroups: comp.graphics
Subject: Re: Reconstruction of blurred images...
Summary: article ref.
Message-ID: <11113@megaron.arizona.edu>
Date: 25 May 89 01:01:34 GMT
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Reply-To: rogerh@arizona.edu (Roger Hayes)
Organization: U of Arizona CS Dept, Tucson
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Stuart Geman and Donald Geman,
"Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration
of Images",
IEEE Trans. on Pattern Analysis & Machine Intelligence,
PAMI-6(6) (Nov 1984): 721-741.

Consider the degraded image as the result of a stochastic process
(blurring, noise).  Use a local neighborhood process to find the
most likely initial image, given the degraded image and some assumptions
about the character of the initial image.  With examples.