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Proceedings Paper

Physically constrained iterative deconvolution of adaptive optics images
Author(s): Julian C. Christou; E. Keith Hege; Stuart M. Jefferies; Matthew Cheselka
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Paper Abstract

Adaptive Optics produces diffraction-limited images but does not fully compensate for the atmospheric degradation of the incoming signal. Post processing is important to fully restore the image. The results of applying a physically constrained iterative deconvolution algorithm to adaptive optics data are presented here for different types of simulated data with different signal-to-noise ratios.

Paper Details

Date Published: 7 December 1998
PDF: 12 pages
Proc. SPIE 3494, Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II, (7 December 1998); doi: 10.1117/12.332416
Show Author Affiliations
Julian C. Christou, Air Force Research Lab. and Steward Obsevatory/Univ. of Arizona (United States)
E. Keith Hege, Steward Observatory/Univ. of Arizona (United States)
Stuart M. Jefferies, National Solar Observatory (United States)
Matthew Cheselka, Steward Observatory/Univ. of Arizona (United States)
National Optical Astronomy Observatories (United States)


Published in SPIE Proceedings Vol. 3494:
Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II
Adam D. Devir; Anton Kohle; Ulrich Schreiber; Christian Werner, Editor(s)

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