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Fast and robust low-light image enhancement based on iterative propagation network
Image Processing | 更新时间:2023-07-27
    • Fast and robust low-light image enhancement based on iterative propagation network

    • 在微光图像增强领域,本工作设计了迭代传播网络,通过多段式预测模型和基于Retinex的迭代循环,显著提升了图像质量与推理速度。实验结果表明,该方法在峰值信噪比和结构相似度上均优于现有算法,为复杂场景下的微光图像增强提供了有效解决方案。
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 7, Pages: 971-979(2024)
    • DOI:10.37188/CJLCD.2023-0199    

      CLC: TP391
    • Published:05 July 2024

      Received:29 May 2023

      Revised:03 July 2023

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  • XIAO Zhibo, JIANG Zhilong, KONG Yan. Fast and robust low-light image enhancement based on iterative propagation network. [J]. Chinese Journal of Liquid Crystals and Displays 39(7):971-979(2024) DOI: 10.37188/CJLCD.2023-0199.

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