Abstract
In this paper, different techniques for the detection and removal of rain from images have been reviewed. The performance of each technique varies as the rain reduces the visibility of the scene in the image. Detection and removal of rain needs the discrimination of rain from non-rain pixels. Accuracy of methods depends upon this discrimination. Here merits and demerits of existing methods are discussed, which motivates further research. A rain removal technique has wide applications in indoor and outdoor security surveillance systems, tracking and navigation, entertainment industries and consumer electronics.
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