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Proceedings Paper

Evaluation of the phase diversity algorithm for noise statistics error and diversity function combination
Author(s): Jean J. Dolne
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Paper Abstract

This paper will analyze the performance degradation of the phase diversity algorithm due to error in modeling the noise statistics. In other words, it will answer the question: "What is the level of degradation, if any, when the true noise statistics is Gaussian (Poisson) but is modeled as Poisson (Gaussian) in the likelihood function?" Furthermore, many phase diversity studies have been performed with defocus as the diversity function. One may ask whether combining the defocus with another diversity function such as astigmatism could improve the performance. This paper will show that a phase diversity composed of an appropriate combination of defocus and astigmatism can result in performance superior to any one of the phase diversities considered separately.

Paper Details

Date Published: 7 September 2006
PDF: 9 pages
Proc. SPIE 6307, Unconventional Imaging II, 630708 (7 September 2006); doi: 10.1117/12.683187
Show Author Affiliations
Jean J. Dolne, The Boeing Co. (United States)

Published in SPIE Proceedings Vol. 6307:
Unconventional Imaging II
Victor L. Gamiz; Paul S. Idell; Marija S. Strojnik, Editor(s)

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