Single image rain and snow removal via guided L0 smoothing filter
Single image rain and snow removal via guided L0 smoothing filter
复制标题
通过引导 L0 平滑滤波器去除单幅图像雨雪
DOI：
10.1007/s11042-015-2657-7
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发表时间：
2016-03-01
影响因子：
3.6
通讯作者：
Zeng, Delu
中科院分区：
文献类型：
--
作者：
Ding, Xinghao;Chen, Liqin;Zeng, Delu
由于无法利用时间信息，单幅图像的雨雪去除是一个具有挑战性的问题。本文通过设计一种引导式L0平滑滤波器，提出了一种改进的单图像雨雪去除方法。所设计的滤波器的灵感来自以前的L0梯度最小化。然后，一个粗糙的无雨或无雪的图像可以与建议的过滤器，并最终细化的结果是恢复由进一步的最小化操作依赖于观察到的图像。实验结果表明，该算法产生更好的或可比的输出比国家的最先进的算法在单图像的雨雪去除任务。
Since no temporal information can be exploited, rain and snow removal from single image is a challenging problem. In this paper, an improved rain and snow removal method from single image is proposed by designing a guided L0 smoothing filter. The designed filter is inspired by the previous L0 gradient minimization. Then a coarse rain-free or snow-free image can be obtained with the proposed filter, and the final refined result is recovered by a further minimization operation depending on the observed image. Experimental results show that the proposed algorithm generates better or comparable outputs than the state-of-the-art algorithms in rain and snow removal task for single image.