Point Spread Function Reconstruction and Blind Deconvolution from Adaptive Optics Data of Extremely Large TelescopesMS34

In the upcoming generation of Extremely Large Telescopes, the impact of the turbulent atmosphere is corrected by Adaptive Optics systems. Even after correction the quality of astronomical images is degraded, e.g., due to time delay coming from measurement/correction processes resulting in a blur in images. We present an approach for the reconstruction of the directional dependent PSF using, e.g., atmospheric tomography. Finally, a blind deconvolution algorithm for the improvement of the scientific image is used.

This presentation is part of Minisymposium “MS34 - Numerical Linear Algebra techniques for Image Restoration and Reconstruction (2 parts)
organized by: Caterina Fenu (University of Cagliari) , Marco Donatelli (University of Insubria) .

Ronny Ramlau (Kepler University Linz and Johann Radon Institute)
computed tomography, image deblurring, image enhancement, image reconstruction, inverse problems