Parallel processing of solar image restoration with phase diversity technique
Abstract
We aim at improving solar images partially compensated by Adaptive Optics (AO) or Ground-Layer (GL) AO using a phase diversity (PD) method. To reduce computational time in the PD execution, we develop a computer cluster system that enables restoration of several images in parallel. We set a PD-observational system downstream of an AO system in the Hida Observatory in Japan. Driving the AO system, we recorded focused and defocused solar images. They were segmented to partial images, and then were restored by the PD method. We show the results of solar image restoration, and also demonstrate the reduction of processing time by the computer cluster.
- Publication:
-
Adaptive Optics Systems VI
- Pub Date:
- July 2018
- DOI:
- 10.1117/12.2312005
- Bibcode:
- 2018SPIE10703E..32S