Laser & Infrared, Volume. 55, Issue 2, 226(2025)

Multi-scale enhancement of laser images based on variable structure deep learning

DI Li1, WANG Qi1, LIU Shan-feng2、*, WANG Wan-xin3, and MAO Wan-deng2
Author Affiliations
  • 1State Grid Henan Electric Power Company, Zhengzhou 450000, China
  • 2State Grid Henan Electric Power Company Electric Power Science Research Institute, Zhengzhou 450000, China
  • 3Henan Jiuyu Tenglong Information Engineering Co., LTD, Zhengzhou 450000, China
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    References(5)

    [1] [1] Sobue M, Otake H, Takehara H, et al. Enhancing infrared color reproducibility through multispectral image processing using RGB and three infrared channels[J]. Optical Engineering, 2022, 61(6): 063107-1-063107-11.

    [2] [2] Ciprin-Snchez J. F, Ochoa-Ruiz G, Gonzalez-Mendoza M, et al. FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery[J]. Neural Computing & Applications, 2023, 35(25): 18201-18213.

    [8] [8] Tolie H F, Ren J, Elyan E. DICAM: deep inception and channel-wise attention modules for underwater image enhancement[J]. Neurocomputing, 2024, 584(1): 127585-127599.

    [9] [9] Zhang L, Yan L, Li S, et al. MMDCP: an image enhancement algorithm incorporating multi-channel phase activation and multi-constrained dark channel prior[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2024, 38(4): 53-67.

    [18] [18] Wasih M, Ahmad S, Almekkawy M. A robust cascaded deep neural network for image reconstruction of single plane wave ultrasound RF data[J]. Ultrasonics, 2023, 132(8): 1-5.

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    DI Li, WANG Qi, LIU Shan-feng, WANG Wan-xin, MAO Wan-deng. Multi-scale enhancement of laser images based on variable structure deep learning[J]. Laser & Infrared, 2025, 55(2): 226

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    Paper Information

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    Received: Jun. 18, 2024

    Accepted: Apr. 3, 2025

    Published Online: Apr. 3, 2025

    The Author Email: LIU Shan-feng (dushan32481626@163.com)

    DOI:10.3969/j.issn.1001-5078.2025.010

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