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Proceedings Paper

Iterative Restoration Algorithms For Nonlinear Constraint Computing
Author(s): Harold Szu
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Paper Abstract

We sometimes wish to undo what has been done to optical data using repeatedly identical nonlinear optical processors, such as non-linear imaging devices, matrix-vector multipliers with threshold logic, etc. This undoing is mathematically, equivalent to finding the inverse operator D-1, if the direct operator D represents the nonlinear optical processor in repeated usage.

Paper Details

Date Published: 13 February 1986
PDF: 8 pages
Proc. SPIE 0634, Optical and Hybrid Computing, (13 February 1986); doi: 10.1117/12.964007
Show Author Affiliations
Harold Szu, Naval Research Laboratory (United States)

Published in SPIE Proceedings Vol. 0634:
Optical and Hybrid Computing
Harold H. Szu, Editor(s)

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