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Proceedings Paper

Frame selection for adaptive optics imaging through atmospheric turbulence
Author(s): Michael C. Roggemann; Byron M. Welsh; Stephen D. Ford; Craig A. Stoudt
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Paper Abstract

Adaptive optics systems have been used to overcome some of the effects of atmospheric turbulence on large aperture astronomical telescopes. Field experience with adaptive optics imaging systems making short exposure image measurements has shown that some of the images are better than others in the sense that the better images have higher resolution. In this paper we address the issue of selecting and processing the best images from a finite data set of compensated short exposure images. Image sharpness measures are used to select the data subset to be processed. Comparison of the image spectrum SNRs for the cases of processing the entire data set and processing only the selected subset of the data shows a broad range of practical cases where processing the selected subset results in superior SNR. Preliminary results indicate that the effective average point spread functions for applying frame selection to extended objects and point sources under equivalent seeing conditions are nearly identical. Thus, deconvolution could be applied to images obtained through frame selection.

Paper Details

Date Published: 30 September 1994
PDF: 12 pages
Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); doi: 10.1117/12.188067
Show Author Affiliations
Michael C. Roggemann, Air Force Institute of Technology (United States)
Byron M. Welsh, Air Force Institute of Technology (United States)
Stephen D. Ford, Air Force Institute of Technology (United States)
Craig A. Stoudt, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2302:
Image Reconstruction and Restoration
Timothy J. Schulz; Donald L. Snyder, Editor(s)

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