11th Joint International Conference on Information Sciences

The Application of Histogram on Rain Detection in Video

Authors
Xudong Zhao 0, Peng Liu, Jiafeng Liu, Tang Xianglong
Corresponding Author
Xudong Zhao
0School of Computer Science, Harbin Institute of Technology
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.65How to use a DOI?
Keywords
Rain; Detection; Image Restoration; Image Processing; Video Enhancement
Abstract
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.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.65How to use a DOI?
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  -