The Application of Histogram on Rain Detection in Video

DOI

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.

Copyright

© 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/).

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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  -