Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 7, 1036(2025)

Wavefront detection method based on extended Nijboer-Zernike combined with deep neural networks

Jinting LI1,2, Bin WANG1、*, Lei DONG1, and Shuo LI1,2
Author Affiliations
  • 1Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China
  • 2University of Chinese Academy of Sciences,Beijing 100049,China
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    [10] GUO L. Research on high-accuracy wavefront sensing of space telescope based on phase diversity algorithm[D](2023).

    [11] QI X. Research on image-based wavefront sensing technique using deep LSTM network with phase diversity images[D](2020).

    [19] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J/OL]. arXiv.

    [20] CHEN Y Z, YU X H. Research on the development of computer image recognition technology based on artificial intelligence[J]. Journal of Zhaotong University, 46, 76-82(2024).

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    Jinting LI, Bin WANG, Lei DONG, Shuo LI. Wavefront detection method based on extended Nijboer-Zernike combined with deep neural networks[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(7): 1036

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    Paper Information

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    Received: Mar. 20, 2025

    Accepted: --

    Published Online: Aug. 11, 2025

    The Author Email: Bin WANG (eatingbeen@hotmail.com)

    DOI:10.37188/CJLCD.2025-0060

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