Infrared and Laser Engineering, Volume. 49, Issue 10, 20200273(2020)

A single-frame deep learning phase retrieval algorithm based on defocus grating

Xuejing Qiu1...2,3, Wang Zhao1,2, Chao Yang1,2,3, Tao Cheng1,2,3, Shuai Wang1,2, and Bing Xu12 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    Aiming at drawbacks of slow convergence rate and multiple measuring on focal or defocus plane by CCD in phase diversity algorithm, a single-frame deep learning phase retrieval algorithm based on defocus grating was proposed. Algorithm used a defocus grating to modulate incident wavefront, far-field intensity distribution of focal and positive/negative defocus plane can be acquired on focal plane of lens at the same time. In addition, convergence rate was improved when algorithm applied CNN to replace multiple perturbation optimization process. Numerical simulations indicate that the proposed method can achieve precise high-speed wavefront reconstruction with a single far-field intensity distribution, root mean square (RMS) of residual wavefront is 6.7% of that of incident wavefront, computing time for algorithm to perform wavefront reconstruction can be less than 0.6 ms.

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    Xuejing Qiu, Wang Zhao, Chao Yang, Tao Cheng, Shuai Wang, Bing Xu. A single-frame deep learning phase retrieval algorithm based on defocus grating[J]. Infrared and Laser Engineering, 2020, 49(10): 20200273

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    Paper Information

    Category: Adaptive optics

    Received: Jul. 10, 2020

    Accepted: --

    Published Online: Jul. 6, 2021

    The Author Email:

    DOI:10.3788/IRLA20200273

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