The Application of Histogram on Rain Detection in Video
Xudong Zhao1, Peng Liu, Jiafeng Liu, Tang Xianglong
1School of Computer Science, Harbin Institute of Technology
Available Online December 2008.
- 10.2991/jcis.2008.65How to use a DOI?
- Rain; Detection; Image Restoration; Image Processing; Video Enhancement
Rain, which is randomly distributed and falls at high speed, behaves complex in video and makes the work of rain detection hard. The improved histogram model is proposed for detection and removal of rain in video. The properties of this model, which are suitable for both stationary and dynamic scenes, are particularly discussed. An appropriate and concise K-means clustering algorithm is embedded in our methods, which remarkably reduces the complexity of the existing algorithm. The effectiveness of our methods is demonstrated using experimental results, which corroborates the significance of the intensity property for detection and removal of rain in video.
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xudong Zhao AU - Peng Liu AU - Jiafeng Liu AU - Tang Xianglong PY - 2008/12 DA - 2008/12 TI - The Application of Histogram on Rain Detection in Video BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 382 EP - 387 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.65 DO - 10.2991/jcis.2008.65 ID - Zhao2008/12 ER -