High Power Laser and Particle Beams, Volume. 35, Issue 12, 123002(2023)

Research on wideband electromagnetic image striping noise removal method based on BiGRU-CNN

Yanju Zhu1,2, Zihan Zhao1, and Zhiwei Gao1,2、*
Author Affiliations
  • 1School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
  • 2Hebei Key Laboratory of Electromagnetic Environmental Effects and Information Processing, Shijiazhuang 050043, China
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    References(21)

    [7] Shao Xiaopeng, Jin Zhenhua, Wang Yang. Improved algorithm for removing stripe noise of infrared images[J]. Electronic Science and Technology, 26, 83-87(2013).

    [8] [8] Luo Peiyan. Research on large dynamic array signal receiving processing technology[D]. Wuhan: Huazhong University of Science Technology, 2022

    [15] Zhang Yatao, Ji Shupeng, Wang Qiangfeng, . Definition evaluation algorithm based on regional contrast[J]. Journal of Applied Optics, 33, 293-299(2012).

    [18] [18] Fayyaz Z, Platnick D, Fayyaz H, et al. Deep unfolding f iterative stripe noise removal[C]Proceedings of 2022 International Joint Conference on Neural wks (IJCNN). 2022: 17.

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    Yanju Zhu, Zihan Zhao, Zhiwei Gao. Research on wideband electromagnetic image striping noise removal method based on BiGRU-CNN[J]. High Power Laser and Particle Beams, 2023, 35(12): 123002

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    Paper Information

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    Received: Jul. 29, 2023

    Accepted: Oct. 25, 2023

    Published Online: Dec. 27, 2023

    The Author Email: Gao Zhiwei (gao_zhiwei@163.com)

    DOI:10.11884/HPLPB202335.230238

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