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Weighted median guided filtering method for single image rain removal

机译:用于单图像雨拆卸的加权中值引导滤波方法

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Abstract Because there is no temporal information available, rain removal with a single image is more challenging than that with a video. In this paper, we present a weighted median guided filtering method for rain removal with a single image. It consists of two filtering operations. Firstly, a weighted median filter is convoluted with an input rainy image to obtain a coarse rain-free image; then, guided filter is employed to obtain a refined rain-free image, where the coarse rain-free image is used as a guided image and convoluted with the input rainy image via guided filter. Experimental results show that the proposed method generated comparable results to the state-of-the-art algorithms with low computation cost.
机译:摘要因为没有可用的时间信息,用单个图像的雨删除比与视频更具挑战性。在本文中,我们提出了一种加权中值引导滤波方法,用于用单个图像雨移除。它由两个过滤操作组成。首先,加权中值滤波器用输入的多雨图像卷曲,以获得粗糙的无雨图像;然后,采用引导滤波器获得精制的无雨图像,其中粗雨图像用作引导图像并通过引导滤波器与输入的多雨图像卷曲。实验结果表明,该方法产生了具有低计算成本的最先进算法的可比结果。

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