Single image rain and snow removal via guided L0 smoothing filter

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• 作者：Xinghao Ding ; Liqin Chen ; Xianhui Zheng ; Yue Huang…
• 关键词：Single image rain and snow removal ; Guided filter ; L0 gradient minimization ; Guided L0 smoothing filter
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：75
• 期：5
• 页码：2697-2712
• 全文大小：2,903 KB
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• 作者单位：Xinghao Ding (1)
  Liqin Chen (1)
  Xianhui Zheng (1)
  Yue Huang (1)
  Delu Zeng (1)
  
  1. Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

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.