Removal of rain from videos: a review

In this paper, the algorithms for the detection and removal of rain from videos have been reviewed. Rain reduces the visibility of scene and thus performance of computer vision algorithms which use feature information. Detection and removal of rain requires the discrimination of rain and nonrain pix...

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Bibliographic Details
Published inSignal, image and video processing Vol. 8; no. 8; pp. 1421 - 1430
Main Authors Tripathi, Abhishek Kumar, Mukhopadhyay, Sudipta
Format Journal Article
LanguageEnglish
Published London Springer London 01.11.2014
Subjects
Computer Imaging
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
Chromatic properties
Rain streaks
Scene visibility
Raindrop
Temporal properties
Outdoor vision
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Summary:In this paper, the algorithms for the detection and removal of rain from videos have been reviewed. Rain reduces the visibility of scene and thus performance of computer vision algorithms which use feature information. Detection and removal of rain requires the discrimination of rain and nonrain pixels. Accuracy of the algorithm depends upon this discrimination. Here merits and demerits of the algorithms are discussed, which motivate the further research. A rain removal algorithm has a wide application in tracking and navigation, consumer electronics and entertainment industries.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-012-0373-6