We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Single image rain and snow removal via guided L0 smoothing filter.
- Authors
Ding, Xinghao; Chen, Liqin; Zheng, Xianhui; Huang, Yue; Zeng, Delu
- Abstract
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.
- Subjects
PHOTOGRAPHIC filters; DIGITAL image editing; IMAGE processing; L1-minimization; ALGORITHM research
- Publication
Multimedia Tools & Applications, 2016, Vol 75, Issue 5, p2697
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-015-2657-7