Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 11, 1476(2022)

Fourier ptychography based on multi-scale feature fusion network

Dong-han SONG1,2, Bin WANG1、*, You-qiang ZHU1, and Xin LIU3
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
  • 3Computer Vision and Pattern Recognition Laboratory,School of Engineering Science,Lappeenranta-Lahti University of Technology,Lahti 15210,Finland
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    References(28)

    [3] ZHANG S H, ZHOU G C, CUI B Q et al. Review of Fourier ptychographic microscopy: models, algorithms, and systems[J]. Laser & Optoelectronics Progress, 58, 1400001(2021).

    [24] ZEYDE R, ELAD M, PROTTER M. On single image scale-up using sparse-representations[C], 711-730(2010).

    [28] SHA H, LIU Y Z, ZHANG Y B. Fourier ptychography based on deep learning[J]. Laser & Optoelectronics Progress, 58, 1811020(2021).

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    Dong-han SONG, Bin WANG, You-qiang ZHU, Xin LIU. Fourier ptychography based on multi-scale feature fusion network[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(11): 1476

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    Paper Information

    Category: Research Articles

    Received: Mar. 23, 2022

    Accepted: --

    Published Online: Nov. 3, 2022

    The Author Email: Bin WANG (175969722@qq.com)

    DOI:10.37188/CJLCD.2022-0094

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