Yongzhen Wang1, Xuefeng Yan2, Yanbiao Niu3

  • 1School of Computer Science and Technology, Anhui University of Technology, Ma'anshan, 243032, China.

概括

本研究介绍了DEMore-Net,这是一种新的深度学习模型,用于从图像中删除复杂的雨 (MOR) 工件混合物. 通过整合深度估计,它显著提高了雨降低的图像质量,在恶劣的天气条件下提高了可见度.

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