Low-order wave front sensor deconvolution signal-to-noise ratio

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

doi:10.1117/12.162012

9 November 1993 Low-order wave front sensor deconvolution signal-to-noise ratio

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

Proceedings Volume 2029, Digital Image Recovery and Synthesis II; (1993) https://doi.org/10.1117/12.162012
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Wave-Front Sensor Deconvolution is a computer post processing technique that uses wave- front sensor information to correct for the effect of atmospheric turbulence. An approximate analytic expression for the signal to noise ratio (SNR) of the technique has been derived for the full order case of one or more Hartmann sub-apertures per r0. This expression is not valid for cases of fewer than one sub-aperture per r0. In these cases wave-front simulation can be used to numerically evaluate an SNR.

Citation Download Citation

David Charles Dayton, Steven C. Sandven, and John D. Gonglewski "Low-order wave front sensor deconvolution signal-to-noise ratio", Proc. SPIE 2029, Digital Image Recovery and Synthesis II, (9 November 1993); https://doi.org/10.1117/12.162012

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