[PDF][PDF] Adaptive optics based on machine learning: a review

Y Guo, L Zhong, L Min, J Wang, Y Wu… - Opto-Electronic …, 2022 - researching.cn
Adaptive optics techniques have been developed over the past half century and routinely
used in large ground-based telescopes for more than 30 years. Although this technique has …

Artificial intelligence-assisted light control and computational imaging through scattering media

S Cheng, H Li, Y Luo, Y Zheng, P Lai - Journal of innovative optical …, 2019 - World Scientific
Coherent optical control within or through scattering media via wavefront shaping has seen
broad applications since its invention around 2007. Wavefront shaping is aimed at …

Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics

B Pou, J Smith, E Quinones, M Martin, D Gratadour - Optics Express, 2024 - opg.optica.org
We propose a novel control approach that combines offline supervised learning to address
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …

Deep learning assisted zonal adaptive aberration correction

B Zhang, J Zhu, K Si, W Gong - Frontiers in Physics, 2021 - frontiersin.org
Deep learning (DL) has been recently applied to adaptive optics (AO) to correct optical
aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive …

Deep learning assisted plenoptic wavefront sensor for direct wavefront detection

H Chen, L Wei, Y He, J Yang, X Li, L Li, L Huang… - Optics …, 2023 - opg.optica.org
Traditional plenoptic wavefront sensors (PWFS) suffer from the obvious step change of the
slope response, leading to poor wavefront detection performance. In order to solve this …

Deep learning based wavefront sensor for complex wavefront detection in adaptive optical microscopes

S Hu, L Hu, W Gong, Z Li, K Si - Frontiers of Information Technology & …, 2021 - Springer
Abstract The Shack-Hartmann wavefront sensor (SHWS) is an essential tool for wavefront
sensing in adaptive optical microscopes. However, the distorted spots induced by the …

Direct wavefront sensing with a plenoptic sensor based on deep learning

H Chen, H Zhang, Y He, L Wei, J Yang, X Li… - Optics …, 2023 - opg.optica.org
Traditional plenoptic wavefront sensors (PWS) suffer from the obvious step change of the
slope response which leads to the poor performance of phase retrieval. In this paper, a …

Co-designed metaoptoelectronic deep learning

CM Villegas Burgos, P Xiong, L Qiu, Y Zhu… - Optics …, 2023 - opg.optica.org
A metaoptical system is co-designed with electronic hardware to implement deep learning
image recognition. The optical convolution block includes a reflective metasurface to …

Extended scene deep learning wavefront sensing

B de Bruijne, G Vdovin, O Soloviev - JOSA A, 2022 - opg.optica.org
We have applied a combination of blind deconvolution and deep learning to the processing
of Shack–Hartmann images. By using the intensity information contained in spot positions …

[PDF][PDF] 基于深度学习的自适应光学波前传感技术研究综述

李自强, 李新阳, 高泽宇, 贾启旺 - 强激光与粒子束, 2021 - researching.cn
波前传感是自适应光学系统的重要组成部分, 在地基大口径望远镜, 激光大气传输, 无线光通信,
激光驱动核聚变等领域发挥了关键作用, 同时也常应用于自由曲面的光学测量中. 与此同时 …