Physically constrained iterative deconvolution of adaptive optics images

Julian C. Christou; E. Keith Hege; Stuart M. Jefferies; Matthew Cheselka

doi:10.1117/12.332416

7 December 1998 Physically constrained iterative deconvolution of adaptive optics images

Julian C. Christou, E. Keith Hege, Stuart M. Jefferies, Matthew Cheselka

Proceedings Volume 3494, Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II; (1998) https://doi.org/10.1117/12.332416
Event: Remote Sensing, 1998, Barcelona, Spain

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.

Citation Download Citation

Julian C. Christou, E. Keith Hege, Stuart M. Jefferies, and Matthew Cheselka "Physically constrained iterative deconvolution of adaptive optics images", Proc. SPIE 3494, Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II, (7 December 1998); https://doi.org/10.1117/12.332416

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