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Proceedings Paper

Signal-to-noise and convergence properties of a modified Richardson-Lucy algorithm with Knox-Thompson start point
Author(s): David Charles Dayton; Steven C. Sandven; John D. Gonglewski
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Paper Abstract

The utility of a blind deconvolution algorithm used in conjunction with the Knox-Thompson algorithm is demonstrated with day time observations of the MIR space station. We also investigate the convergence properties of the Richardson- Lucy Blind deconvolution algorithm when used in conjunction with the Knox-Thompson algorithm.

Paper Details

Date Published: 25 October 1996
PDF: 8 pages
Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); doi: 10.1117/12.255079
Show Author Affiliations
David Charles Dayton, Applied Technology Associates, Inc. (United States)
Steven C. Sandven, Applied Technology Associates, Inc. (United States)
John D. Gonglewski, Air Force Phillips Lab. (United States)


Published in SPIE Proceedings Vol. 2827:
Digital Image Recovery and Synthesis III
Paul S. Idell; Timothy J. Schulz, Editor(s)

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