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Removing rain and snow in a single image using saturation and visibility features

机译:使用饱和度和可见性功能消除单个图像中的雨雪

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Rain and snow are two of the major obstacles in processing the photograph captured in the outdoor bad weather conditions. Rain and snow will cause the performance of vision algorithm become worse. There are a lot of methods have been proposed to reduce the raindrops and snowflakes in video. However, how to remove rain and snow and keep the detail of the background in a single image is still quite challenging since it is hard to detect the pixels of rain and snow. In this paper, we proposed a new method based on features on saturation and visibility. The results show that it can achieve better performance than previous methods.
机译:雨雪是处理在室外恶劣天气条件下拍摄的照片时的两个主要障碍。雨雪会导致视觉算法的性能变差。已经提出了许多减少视频中的雨滴和雪花的方法。然而,由于很难检测到雨雪的像素,因此如何去除雨雪并在单个图像中保持背景细节仍然是一个挑战。在本文中,我们提出了一种基于饱和度和可见度特征的新方法。结果表明,与以前的方法相比,它可以获得更好的性能。

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