High noise-resistant slope and curvature signal extraction algorithm in frequency domain for the Shack-Hartmann wavefront sensor

Fei He; Ke Liu; Yanqiu Li; Peng Qin; Hui Zhong; Xiaotian Zhang

doi:10.1117/12.2654845

15 December 2022 High noise-resistant slope and curvature signal extraction algorithm in frequency domain for the Shack-Hartmann wavefront sensor

Fei He, Ke Liu, Yanqiu Li, Peng Qin, Hui Zhong, Xiaotian Zhang

Author Affiliations +

Proceedings Volume 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022); 124783L (2022) https://doi.org/10.1117/12.2654845
Event: Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 2022, Xi'an, China

Abstract

Conventional Shark-Hartmann wavefront sensors (SHWS) only get the slope information of the wavefront in each subaperture. In this paper, Fourier demodulation technology and finite difference method are used to process the Light spot column plot of the SHWS, and the slope and curvature information of the wavefront in each subaperture can be obtained. With the slope and curvature information of the wavefront obtained by the algorithm as input, the distorted wavefront of the input is reconstructed by using the slope and curvature hybrid wavefront reconstruction technology. Simulation results show that the relative reconstruction error of wavefront is between 1%-5% under ideal conditions. In the noisy condition, the relative reconstruction errors of the wavefront are also between 1%-5%, and the wavefront can be recovered well. Compared with the traditional spatial centroid detection algorithm, this algorithm is simple and convenient to process information in the frequency domain, and has strong anti-noise ability.

Citation Download Citation

Fei He, Ke Liu, Yanqiu Li, Peng Qin, Hui Zhong, and Xiaotian Zhang "High noise-resistant slope and curvature signal extraction algorithm in frequency domain for the Shack-Hartmann wavefront sensor", Proc. SPIE 12478, Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 124783L (15 December 2022); https://doi.org/10.1117/12.2654845

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KEYWORDS

Wavefronts

Wavefront sensors

Microlens

Microlens array

Fourier transforms

Reconstruction algorithms

Wavefront reconstruction

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