Evaluation of the phase diversity algorithm for noise statistics error and diversity function combination

Jean J. Dolne

doi:10.1117/12.683187

7 September 2006 Evaluation of the phase diversity algorithm for noise statistics error and diversity function combination

Jean J. Dolne

Author Affiliations +

Proceedings Volume 6307, Unconventional Imaging II; 630708 (2006) https://doi.org/10.1117/12.683187
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

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Jean J. Dolne "Evaluation of the phase diversity algorithm for noise statistics error and diversity function combination", Proc. SPIE 6307, Unconventional Imaging II, 630708 (7 September 2006); https://doi.org/10.1117/12.683187

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