High Power Laser and Particle Beams, Volume. 35, Issue 8, 082005(2023)

Double-constrained CUP-VISAR compressed image reconstruction algorithm based on Kalman filtering

Yuanping Yu1, Haiyan Li1、*, Huaquan Gan1, Kaitao Zheng1, Qingxin Huang1, Yulong Li2, Zanyang Guan2, Yunbao Huang1, and Longfei Jing2
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • 2Laser Fusion Research Center, CAEP, Mianyang 621900, China
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    Figures & Tables(14)
    CUP-VISAR system
    Weighted Kalman filter principle diagram
    Denoising flowchart
    Simulated fringes
    Simulated 2D-VISAR stripes with noise
    Simulated coded image
    Simulated CUP-VISAR observation images with noise
    Reconstruction results of different algorithms
    PSNR and SSIM curves of reconstructed images
    Diagram of actual experimental optical path
    Actual experimental observation data
    Reconstruction results of different algorithms
    Line-VISAR diagram obtained from the reconstructed image
    Shock wave velocity and relative error
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    Yuanping Yu, Haiyan Li, Huaquan Gan, Kaitao Zheng, Qingxin Huang, Yulong Li, Zanyang Guan, Yunbao Huang, Longfei Jing. Double-constrained CUP-VISAR compressed image reconstruction algorithm based on Kalman filtering[J]. High Power Laser and Particle Beams, 2023, 35(8): 082005

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    Paper Information

    Category: Inertial Confinement Fusion Physics and Technology

    Received: Apr. 23, 2023

    Accepted: Jun. 12, 2023

    Published Online: Aug. 16, 2023

    The Author Email: Li Haiyan (cathylhy@gdut.edu.cn)

    DOI:10.11884/HPLPB202335.230100

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