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From: james@rover.bsd.uchicago.edu
Newsgroups: comp.graphics,sci.astro
Subject: Re: Reconstruction of blurred images...
Message-ID: <3374@tank.uchicago.edu>
Date: 22 May 89 16:03:48 GMT
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Organization: University of Chicago - Dept. Rad. Onc. and Med. Physics
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In article <3985@uhccux.uhcc.hawaii.edu>, lupton@uhccux.uhcc.hawaii.edu (Robert Lupton) writes...
> 
>The problem of de-blurring images is pretty standard, and pretty hard. The
>naive solution (for a constant PSF) of deconvolving by dividing in the
>Fourier domain usually fails horribly.

Agreed. One other trick is a method called "Iterative Deconvolution". If
you have an object that you can get on your image with approximately
a known shape for your projection, you can make ane "estimate" of the
actual PSF (point spread function), convolve it with the shape, and
compare the result to the image.  It is best to vary as few parameters as
possible, and to assume a general shape for the PSF (eg. a gaussian).
There are various articles in MEDICAL PHYSICS and RADIOLOGY on this
technique as applied to the blurring function of radiographic imaging
systems.

James Balter
james@rover.uchicago.edu
"If the hat fits, slice it!"