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  1. plateDeblur plateDeblur Public

    本研究针对实际交通监控场景中车牌图像因运动模糊与部分遮挡导致的质量退化问题，提出一种基于深度学习的多阶段车牌模糊图像复原方案。该方案创新性地融合U-Net与多尺度Vision Transformer (ViT)架构，构建了高效的端到端车牌图像复原网络。同时，设计了一种基于车牌边缘轮廓特征学习的训练策略，通过强化网络对车牌结构信息的提取能力，显著提升了网络在复杂场景下的图像复原效果。实验结果表…

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