Paper
11 July 2018 Parallel processing of solar image restoration with phase diversity technique
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takahiro Suzuki, Noriaki Miura, Susumu Kuwamura, Shin Oya, Satoru Ueno, Yoshikazu Nakatani, and Kiyoshi Ichimoto "Parallel processing of solar image restoration with phase diversity technique", Proc. SPIE 10703, Adaptive Optics Systems VI, 1070332 (11 July 2018); https://doi.org/10.1117/12.2312005
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Adaptive optics

Image processing

Parallel processing

Telecommunications

Image restoration

Observatories

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