Signal-to-noise and convergence properties of a modified Richardson-Lucy algorithm with Knox-Thompson start point

David Charles Dayton; Steven C. Sandven; John D. Gonglewski

doi:10.1117/12.255079

25 October 1996 Signal-to-noise and convergence properties of a modified Richardson-Lucy algorithm with Knox-Thompson start point

David Charles Dayton, Steven C. Sandven, John D. Gonglewski

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Proceedings Volume 2827, Digital Image Recovery and Synthesis III; (1996) https://doi.org/10.1117/12.255079
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

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David Charles Dayton, Steven C. Sandven, and John D. Gonglewski "Signal-to-noise and convergence properties of a modified Richardson-Lucy algorithm with Knox-Thompson start point", Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); https://doi.org/10.1117/12.255079

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