Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0411002(2024)

Phase Compensation Algorithm for Off-Axis Digital Holography Based on a Radial Basis Function Neural Network(Invited)

Youzhou Shi1,2, Yihui Wu1, and Wenchao Zhou1、*
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin , China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(9)
    Wavefront relationship in CCD recording process
    Topology of RBF network in phase recovery
    Flow chart of RBF phase recovery algorithm
    Simulation results: (a) Digital hologram; (b) Fourier spectrum; (c) FTM initial reconstruction phase; (d) RBF compensation phase and selected training scatters; (e) corrected phase; (f) the simulated object, SCM, PCA and RBF data at the white line section
    The change of loss function with the number of iterations
    System diagram
    Experimental results. (a) Digital hologram; (b) PCA reconstruction phase; (c) SCM reconstruction phase; (d) RBF reconstruction phase; (e) DEM reconstruction phase; (f) the white line section data in Fig. 7 (a)
    Experimental results. (a) Digital hologram; (b) the mask for obtaining training data; (c) SCM reconstruction phase; (d) PCA reconstruction phase; (e) DEM reconstruction phase; (f) RBF reconstruction phase
    The phase difference value between DEM and RBF
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    Youzhou Shi, Yihui Wu, Wenchao Zhou. Phase Compensation Algorithm for Off-Axis Digital Holography Based on a Radial Basis Function Neural Network(Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0411002

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 18, 2023

    Accepted: May. 29, 2023

    Published Online: Feb. 22, 2024

    The Author Email: Zhou Wenchao (zhouvc@ciomp.ac.cn)

    DOI:10.3788/LOP231110

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