Paper
15 December 2022 Shack-Hartmann wavefront reconstruction speed up with embedded GPU
Yao Fan, Yaxuan Duan, Jingwei Kou, Weigang Zhang, Qing Liu, Zhengshang Da
Author Affiliations +
Proceedings Volume 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022); 124780K (2022) https://doi.org/10.1117/12.2648160
Event: Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 2022, Xi'an, China
Abstract
Shack-Hartmann sensor is widely used in adaptive optics systems, and laser beam quality measurements. The traditional method separates measures and calculations, and the wavefront reconstruction algorithm is slow to implement on the host computer. In this paper, the embedded GPU is introduced to Shack-Hartmann sensors' wavefront phase reconstruction. A parallel calculation method is proposed to speed up the wavefront phase reconstruction process. The experiment result shows the algorithm speed improves 50× with the image size of 2592×2048 pixels.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yao Fan, Yaxuan Duan, Jingwei Kou, Weigang Zhang, Qing Liu, and Zhengshang Da "Shack-Hartmann wavefront reconstruction speed up with embedded GPU", Proc. SPIE 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 124780K (15 December 2022); https://doi.org/10.1117/12.2648160
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KEYWORDS
Reconstruction algorithms

Wavefronts

Data modeling

Wavefront sensors

Wavefront reconstruction

Data processing

Image processing

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