The Application of Histogram on Rain Detection in Video
Xudong Zhao 0, Peng Liu, Jiafeng Liu, Tang Xianglong
0School of Computer Science, Harbin Institute of Technology
Available Online December 2008.
- https://doi.org/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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - 11th Joint International Conference on Information Sciences PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.65 DO - https://doi.org/10.2991/jcis.2008.65 ID - Zhao2008/12 ER -