Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1037006(2025)

Two-Stage Image Rain Removal Network Based on Dynamic Residual Diffusion

Yixin Yang1,2、*, Xinjian Gao1, Ye Ma1,2, and Jun Gao1,2
Author Affiliations
  • 1School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, Anhui , China
  • 2Laboratory of Image Information Processing, Hefei University of Technology, Hefei 230009, Anhui , China
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    References(33)

    [10] Hu D F, Tong Q H, Chai G Q et al. Two-stage progressive image deraining algorithm for vehicle detection in rainy days[J]. Laser & Optoelectronics Progress, 60, 2210006(2023).

    [11] Zhou J X, Li Z W, Qiu H W et al. Improved convolutional rain removal algorithm for single image based on graph network[J]. Laser & Optoelectronics Progress, 60, 0410016(2023).

    [12] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).

    [23] Ho J, Jain A, Abbeel P. Denoising diffusion probabilistic models[C], 6840-6851(2020).

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    Yixin Yang, Xinjian Gao, Ye Ma, Jun Gao. Two-Stage Image Rain Removal Network Based on Dynamic Residual Diffusion[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1037006

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    Paper Information

    Category: Digital Image Processing

    Received: Oct. 15, 2024

    Accepted: Nov. 26, 2024

    Published Online: Apr. 23, 2025

    The Author Email:

    DOI:10.3788/LOP242104

    CSTR:32186.14.LOP242104

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