Real-time wavefront measurement based on GPU-accelerated parallel algorithm using phase diversity images

In this study, we introduce a novel real-time measurement and correction method for time-varying wavefront aberrations. Central to this method is a GPU-accelerated parallel algorithm based on phase diversity images. We apply an approximate model for the point spread function to reduce the computatio...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 73; S. 1
Hauptverfasser:	Kim, Jinsung, Lee, Kye-Sung, Lee, Sang-Chul, Kim, Dong Uk, Kim, I Jong, Chang, Ki Soo, Hur, Hwan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aberration Acceleration Adaptive optics Algorithms Astigmatism Computational modeling Diversity methods Global optimization GPU acceleration gradient-based optimization algorithm Graphics processing units image-based wavefront sensing Linear quadratic regulator Measurement Optimization Phase diversity phase diversity method point spread function Point spread functions Pupils Real time real-time aberration measurement Real-time systems Time measurement Wave fronts
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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