The objective is to remove rain from videos without blurring the object. The algorithm helps to devise the system which removes rain from videos to facilitate video surveillance, and to improve the various visionbased algorithms. Rain is a noise that impairs videos and images. Such weather conditions will affect stereo correspondence, feature detection, segmentation, and object tracking and recognition. In video surveillance if any problem is found due to weather conditions the object cannot be tracked well. In this paper we have considered only rain falling in static environment, i.e., the object is not moving.
S. Krishnan and Dr. Venkataraman D., “Restoration of video by removing rain”, International Journal of Computer Science, Engineering and Applications, vol. 2, pp. 19-28, 2012.