Chinese Journal of Lasers, Volume. 52, Issue 6, 0604002(2025)

CUP‐VISAR Ultrafast Diagnosis TSVT Phase Mapping Fusion Algorithm

Xi Wang1, Zhaohui Guo1, Miao Li1、*, Feng Wang2、**, Yulong Li2、***, Zanyang Guan2, Xueyin Zhao1, Xinru Zhang1, and Wenliang Lei1
Author Affiliations
  • 1School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, Sichuan , China
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    Figures & Tables(20)
    Schematic diagram of the CUP-VISAR system
    Data compression process of CUP
    Structural framework of TSVT
    Structural framework of SPM
    Overall framework of the algorithm
    Simulated stripe image. (a) Original 3D stripe image; (b) images at different time points t; (c) a certain image along y direction
    Actual noise images and simulated images. (a) Space light background noise; (b) background noise of CCD; (c) encoded image; (d) observed image of measurement values
    Observed data from the experiment. (a) Observed data; (b) effective signal data
    The 25th frame of the original data and reconstruction results of different algorithms along the t direction. (a) Original data; (b) E-3DTV; (c) ADMM-TV; (d) TVAL3; (e) proposed algorithm
    Original data and line-VISAR images of different algorithms reconstructed results at y=263. (a) Original data; (b) E-3DTV; (c) ADMM-TV; (d) TVAL3; (e) proposed algorithm
    Comparison of reconstruction image quality using four algorithms. (a) PSNR; (b) SSIM
    Comparison of maximum velocity errors between all line-VISAR images of four algorithms and the original data
    Line-VISAR velocity field at y = 263 reconstructed by proposed algorithm and its error with original data. (a) Original data; (b) line-VISAR velocity field reconstructed by proposed algorithm; (c) velocity error
    Images collected from the experiment. (a) Encoded image; (b) observed image; (c) line-VISAR image; (d) static interference fringe image
    Reconstruction results of different algorithms at the 15th frame along the t direction. (a) E-3DTV; (b) ADMM-TV;
    Line-VISAR images of different algorithm reconstructed results at y=263. (a) E-3DTV; (b) ADMM-TV; (c) TVAL3;
    Standard velocity field and line-VISAR velocity fields of different algorithms reconstructed results at y=263. (a) Standard velocity field; (b) E-3DTV; (c) ADMM-TV; (d) TVAL3; (e) proposed algorithm
    Relative velocity error of line-VISAR of different algorithms reconstructed results at y = 263. (a) ADMM-TV; (b) TVAL3; (c) proposed algorithm
    • Table 1. Comparison of reconstruction results of four algorithms on different CNR values

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      Table 1. Comparison of reconstruction results of four algorithms on different CNR values

      CNRAlgorithmPSNR /dBSSIM
      4E-3DTV9.670.35
      ADMM-TV11.030.46
      TVAL39.810.49
      Ours25.070.86
      6.56E-3DTV9.840.37
      ADMM-TV11.670.53
      TVAL310.350.55
      Ours29.150.94
      8E-3DTV9.930.38
      ADMM-TV11.790.53
      TVAL310.540.57
      Ours29.740.95
      10E-3DTV9.980.38
      ADMM-TV11.740.54
      TVAL310.620.59
      Ours30.320.96
    • Table 2. Comparison of time and space complexity of four algorithms

      View table

      Table 2. Comparison of time and space complexity of four algorithms

      AlgorithmTime complexitySpace complexity
      E-3DTVΟkn1n2n3Οn1n2n3
      ADMM-TVΟkn1n2Οn1n2
      TVAL3Οkn1n2Οn1n2
      ProposedΟn1n2n3minn1,n2+kn1n2Οn1n2n3
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    Xi Wang, Zhaohui Guo, Miao Li, Feng Wang, Yulong Li, Zanyang Guan, Xueyin Zhao, Xinru Zhang, Wenliang Lei. CUP‐VISAR Ultrafast Diagnosis TSVT Phase Mapping Fusion Algorithm[J]. Chinese Journal of Lasers, 2025, 52(6): 0604002

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    Paper Information

    Category: Measurement and metrology

    Received: Jul. 17, 2024

    Accepted: Oct. 11, 2024

    Published Online: Mar. 18, 2025

    The Author Email: Miao Li (limiao@cqupt.edu.cn), Feng Wang (lfrc_wangfeng@163.com), Yulong Li (2018may6th@sina.com)

    DOI:10.3788/CJL241059

    CSTR:32183.14.CJL241059

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