Laser & Optoelectronics Progress, Volume. 62, Issue 4, 0437004(2025)

Performance Improvement of Laser Interference Image Restoration Based on Multi-Scale Feature Fusion

Haoqian Wang1,2,3、*, Ju Liu1,2,3, Teng Li1, Zhongjie Xu1,2,3, Xiang'ai Cheng1,2,3, and Zhongyang Xing1,2,3
Author Affiliations
  • 1College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, Hunan , China
  • 2State Key Laboratory of Pulsed Power Laser Technology, Changsha 410073, Hunan , China
  • 3Hunan Provincial Key Laboratory of High Energy Laser Technology, Changsha 410073, Hunan , China
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    References(27)

    [16] Wu X P, Gao Q Q, Huang S W et al. Adaptive Retinex image defogging algorithm based on depth-of-field information[J]. Laser & Optoelectronics Progress, 60, 1210013(2023).

    [20] Fan Y C, Ma X, Ma S L et al. Evaluation method of laser jamming effect based on deep learning[J]. Infrared and Laser Engineering, 50, 20210323(2021).

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    Haoqian Wang, Ju Liu, Teng Li, Zhongjie Xu, Xiang'ai Cheng, Zhongyang Xing. Performance Improvement of Laser Interference Image Restoration Based on Multi-Scale Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(4): 0437004

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    Paper Information

    Category: Digital Image Processing

    Received: Jun. 13, 2024

    Accepted: Jul. 9, 2024

    Published Online: Feb. 10, 2025

    The Author Email:

    DOI:10.3788/LOP241476

    CSTR:32186.14.LOP241476

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