• High Power Laser and Particle Beams
  • Vol. 37, Issue 2, 022002 (2025)
Yilan Wen1, Haiyan Li1,*, Huaquan Gan1, Yunbao Huang1..., Feng Wang2, Yulong Li2, Zanyang Guan2, Yuanping Yu1, Qingxin Huang1 and Kaitao Zheng1|Show fewer author(s)
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • 2Laser Fusion Research Center, CAEP, Mianyang 621900, China
  • show less
    DOI: 10.11884/HPLPB202537.240247 Cite this Article
    Yilan Wen, Haiyan Li, Huaquan Gan, Yunbao Huang, Feng Wang, Yulong Li, Zanyang Guan, Yuanping Yu, Qingxin Huang, Kaitao Zheng. CUP-VISAR image reconstruction based on iterative-interframe double prediction[J]. High Power Laser and Particle Beams, 2025, 37(2): 022002 Copy Citation Text show less
    References

    [1] Guan Zanyang, Li Yulong, Wang Feng et al. Study on the length of diagnostic time window of CUP-VISAR[J]. Measurement Science and Technology, 32, 125208(2021).

    [2] Wu Yuji, Wang Qiuping, Wang Feng. Optical properties of wide-angle velocity interferometer system for any reflector[J]. High Power Laser and Particle Beams, 31, 032001(2019).

    [3] Ma Zijian. The progress and the state-of-art facilities of inertial confinement fusion[J]. Journal of Physics: Conference Series, 2386, 012057(2022).

    [4] Yang Yongmei, Li Yulong, Guan Zanyang et al. A diagnostic system toward high-resolution measurement of wavefront profile[J]. Optics Communications, 456, 124554(2020).

    [5] Qi Dalong, Zhang Shian, Yang Chengshuai et al. Single-shot compressed ultrafast photography: a review[J]. Advanced Photonics, 2, 014003(2020).

    [6] Li Miao, Yu Baishan, Wang Xi. Fringe reconstruction technology of two-dimensional shock wave velocity field based on total variation regularization constraints[J]. Acta Optica Sinica, 43, 1911003(2023).

    [7] Zhang Yan, Li Jie, Li Xinyue et al. Image stripe noise removal based on compressed sensing[J]. International Journal of Pattern Recognition and Artificial Intelligence, 36, 2254004(2022).

    [8] Wang Feng, Li Yulong, Guan Zanyang. Application of compressed sensing technology in laser inertial confinement fusion[J]. High Power Laser and Particle Beams, 34, 031021(2022).

    [9] Wang Xi, Zhang Lei, Miao Li et al. Research into CUP-VISAR velocity reconstruction based on weighted DRUNet and total variation joint optimization[J]. Optics Letters, 48, 5181-5184(2023).

    [10] Zheng Kaitao, Li Haiyan, Gan Huaquan. CUP-VISAR image reconstruction based on low-rank prior and total-variation regularization[J]. High Power Laser and Particle Beams, 35, 072002(2023).

    [11] Huang Qingxin, Li Haiyan, Gan Huaquan. CUP-VISAR compressed image inversion algorithm based on variable-accelerated generalized alternating projection[J]. Acta Optica Sinica, 43, 2111004(2023).

    [12] Gao Liang, Liang Jinyang, Li Chiye et al. Single-shot compressed ultrafast photography at one hundred billion frames per second[J]. Nature, 516, 74-77(2014).

    [13] Madych W R. Solutions of underdetermined systems of linear equations[C]Spatial Statistics Imaging: Papers from the Research Conference on Image Analysis Spatial Statistics Held. 1991: 227238.

    [14] Mou Xiaoshuang, Li Miao, Wang Xi. Single-pixel imaging system based on block smoothed projected quadratic reconstruction algorithm[J]. High Power Laser and Particle Beams, 34, 119002(2022).

    [15] Gao Qiuling, Cheng Wei, Li Wenlong. Centerline extraction algorithm of structured light streak in a complex background[J]. Shandong Science, 37, 65-73(2024).

    [16] Xu Yao. Visual measurement object reconstruction based on fward inverse gray code phase shift period dislocation crection[D]. Harbin: Harbin University of Science Technology, 2023

    [17] Yu Yuanping, Li Haiyan, Gan Huaquan. Double-constrained CUP-VISAR compressed image reconstruction algorithm based on Kalman filtering[J]. High Power Laser and Particle Beams, 35, 082005(2023).

    [18] Sumbul U, Santos J M, Pauly J M. Improved time series reconstruction for dynamic magnetic resonance imaging[J]. IEEE Transactions on Medical Imaging, 28, 1093-1104(2009).

    [19] Teodoro M F, Pereira C, Henriques P et al. Prediction of ship movement using a Kalman filter algorithm[J]. Advances in Science and Technology, 144, 93-100(2024).

    [20] Feng Shuo, Li Xuegui, Zhang Shuai et al. A review: state estimation based on hybrid models of Kalman filter and neural network[J]. Systems Science & Control Engineering, 11, 2173682(2023).

    [21] Puspitaningtyas D A, Mulyantoro D K, Sudiyono S. Kalman filter for artifact reduction in MRI imaging: a literature review[J]. Applied Mechanics and Materials, 913, 79-88(2023).

    [22] Sun Xiaoqi, Gao Wenxi, Duan Yinong. MR brain image segmentation using a fuzzy weighted multiview possibility clustering algorithm with low-rank constraints[J]. Journal of Medical Imaging and Health Informatics, 11, 402-408(2021).

    [23] Beck A, Teboulle M. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems[J]. IEEE Transactions on Image Processing, 18, 2419-2434(2009).

    [24] Yuan Xin, Liu Yang, Suo Jinli, et al. Plugplay algithms f largescale snapshot compressive imaging[C]Proceedings of the 2020 IEEECVF Conference on Computer Vision Pattern Recognition. 2020: 14441454.

    [25] Jin Jianqiu, Yang Bailing, Liang Kewei et al. General image denoising framework based on compressive sensing theory[J]. Computers & Graphics, 38, 382-391(2014).

    [26] Mathew R S, Paul J S. Automated regularization parameter selection using continuation based proximal method for compressed sensing MRI[J]. IEEE Transactions on Computational Imaging, 6, 1309-1319(2020).

    [27] Ma Jianwei, Xu Jie, Bao Yuequan. Compressive sensing and its application: from sparse to low-rank regularized optimization[J]. Journal of Signal Processing, 28, 609-623(2012).

    [28] Gillis N, Glineur F. Low-rank matrix approximation with weights or missing data is NP-hard[J]. SIAM Journal on Matrix Analysis and Applications, 32, 1149-1165(2011).

    [29] Zhang Fan, Fan Hui, Liu Peiqiang et al. Image denoising using hybrid singular value thresholding operators[J]. IEEE Access, 8, 8157-8165(2020).

    [30] Wang Zhou, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

    [31] He Nannan, Xie Kai, Li Tong. Overview of image quality assessment[J]. Journal of Beijing Institute of Graphic Communication, 25, 47-50(2017).

    Yilan Wen, Haiyan Li, Huaquan Gan, Yunbao Huang, Feng Wang, Yulong Li, Zanyang Guan, Yuanping Yu, Qingxin Huang, Kaitao Zheng. CUP-VISAR image reconstruction based on iterative-interframe double prediction[J]. High Power Laser and Particle Beams, 2025, 37(2): 022002
    Download Citation