A Survey on Rain Pixel Recovery Techniques for Videos

A Survey on Rain Pixel Recovery Techniques for Videos

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-10 Number-5
Year of Publication : 2014
Authors : Priya Satpute , Suvarna Pawar
  10.14445/22315381/IJETT-V10P250

Citation 

Priya Satpute , Suvarna Pawar. "A Survey on Rain Pixel Recovery Techniques for Videos", International Journal of Engineering Trends and Technology (IJETT), V10(5),264-266 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Rain produces sharp intensity variation in images and videos, which degrade the performance of outdoor vision systems. These intensity variation depend on various factors, such as the camera parameters, the properties of rain, and the brightness of the scene. Removal of rain streaks in video is a challenging problem due to the random spatial distribution and fast motion of rain. There are several rain removal algorithms, where photometric, chromatic, and probabilistic properties of the rain have been used to detect and remove the rainy effect. Rain removal has found various applications in the field of security surveillance, vision based navigation, video/movie editing and video indexing/retrieval. This paper provides various techniques or methods that are used to detect and remove the rainy effect.

References

[1] K. Garg and S. K. Nayar, “Vision and rain,” Int. J. Compute Vis., vol. 75, no. 1, pp. 3–27, 2007.
[2] X. Zhang, H. Li, Y. Qi, W. K. Leow, and T. K. Ng, “Rain removal in video by combining temporal and chromatic properties,” in Proc. IEEE Int. Conf. Multimedia Expo, Jul. 2006, pp. 461–464.
[3] A. K. Tripathi and S. Mukhopadhyay, “A probabilistic approach for detection and removal of rain from videos,” IETE J. Res., vol. 57, no. 1, pp. 82–91, Mar. 2011.
[4] A. Tripathi and S. Mukhopadhyay, “Video post processing: Low-latency spatiotemporal approach for detection and removal of rain,” IET Image Process., vol. 6, no. 2, pp. 181–196, Mar. 2012.
[5] Jie Chen and Lap-Pui Chau, ‘‘A Rain Pixel Recovery Algorithm for Videos with Highly Dynamic Scenes”, IEEE Image Processing, vol. 23, no. 3, March 2014.
[6] Li-Wei Kang, Chia-Wen Lin, and Yu-Hsiang Fu, ‘‘Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition”, IEEE Image Processing, vol. 21, no. 4, April 2012.

Keyowrds
Motion segmentation, motion occlusion, dynamic scene, motion buffering, adaptive filters, rain removal, image decomposition, Morphological Component Analysis(MAC).