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Rain Removal in Video by Combining Temporal and Chromatic Properties

Zhang, Xiaopeng, Li, Hao, Qi, Yingyi, Leow, Wee, Ng, Teck·2006·2006 IEEE International Conference on Multimedia and Expo

Abstract

Removal of rain streaks in video is a challenging problem due to the random spatial distribution and fast motion of rain. This paper presents a new rain removal algorithm that incorporates both temporal and chromatic properties of rain in video. The temporal property states that an image pixel is never always covered by rain throughout the entire video. The chromatic property states that the changes of R, G, and B values of rainaffected pixels are approximately the same. By using both properties, the algorithm can detect and remove rain streaks in both stationary and dynamic scenes taken by stationary cameras. To handle videos taken by moving cameras, the video can be stabilized for rain removal, and destabilized to restore camera motion after rain removal. It can handle both light rain and heavy rain conditions. Experimental results show that the algorithm performs better than existing algorithms.

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Metadata

Authors
Zhang, X., Li, H., Qi, Y., Leow, W., & Ng, T.
Venue
2006 IEEE International Conference on Multimedia and Expo
Publisher
IEEE
Published
2006-07
Pages
461-464
OpenAlex
W2113569611
Cited by
293
References
0
FWCI
2.54
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rain Removal in Video by Combining Temporal and Chromatic Properties. https://app.cochat.ai/papers/10.1109/icme.2006.262572
The paper
Zhang, X., Li, H., Qi, Y., Leow, W., & Ng, T. (2006). Rain Removal in Video by Combining Temporal and Chromatic Properties. 2006 IEEE International Conference on Multimedia and Expo. https://doi.org/10.1109/icme.2006.262572

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.