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From: shs@uts.amdahl.com (Steve Schoettler)
Newsgroups: comp.arch
Subject: Re: predicted yield of BIG microprocess
Keywords: ccd neural
Message-ID: <16gWR37hbH10108sRIM@amdahl.uts.amdahl.com>
Date: 7 Apr 89 16:44:57 GMT
References: <15878@obiwan.mips.COM> <46500056@uxe.cso.uiuc.edu>
Reply-To: shs@amdahl.uts.amdahl.com (Steve Schoettler)
Organization: Amdahl Corporation, Sunnyvale CA
Lines: 27

In article <46500056@uxe.cso.uiuc.edu> mcdonald@uxe.cso.uiuc.edu writes:
>>Year				1984	1987	1989	1992
>>Defect density [cm^(-2)]	1.83	1.16	0.72	0.38
>
>What I want is a BIG CCD camera chip. How do these relate in
>manufacturability to memories or CPU's.

This is the classic application for a neural network!

More seriously, there have been some good ideas on image processing
with partial data.  Here are some relevant papers in case you're interested:

Carnevali, P. and Coletti, L., and Patarnello, S. "Image Processing by
Simulated Annealing," IBM Journal of Research and Development 29(6):569-579,
1985.

Geman, Stuart and Geman, Donald. "Stochastic Relaxation, Gibbs Distributions,
and the Bayesian Restoration of Images," IEEE PAMI 6:721-741, 1984.

Steve

-- 

        Steve Schoettler
        shs@uts.amdahl.com
        {sun,decwrl,pyramid,ames,uunet}!amdahl!shs
        Amdahl Corp., M/S 213, 1250 E. Arques Ave, Sunnyvale, CA 94088