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Reseach Article

A Novel Approach for Rain Pixel Detection and Recovery by using Motion Segmentation

Published on December 2014 by Bhagyashri More, A. D. Potgantwar
Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 1
December 2014
Authors: Bhagyashri More, A. D. Potgantwar
ccd62a8f-49de-4eb6-b90a-62959cdbc58b

Bhagyashri More, A. D. Potgantwar . A Novel Approach for Rain Pixel Detection and Recovery by using Motion Segmentation. Innovations and Trends in Computer and Communication Engineering. ITCCE, 1 (December 2014), 24-26.

@article{
author = { Bhagyashri More, A. D. Potgantwar },
title = { A Novel Approach for Rain Pixel Detection and Recovery by using Motion Segmentation },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/itcce/number1/19043-2008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A Bhagyashri More
%A A. D. Potgantwar
%T A Novel Approach for Rain Pixel Detection and Recovery by using Motion Segmentation
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 1
%P 24-26
%D 2014
%I International Journal of Computer Applications
Abstract

The visual effects of rain are complex. Rain removal is a very useful technique in applications such as security surveillance, video editing, vision based navigation, and video indexing/retrieval. Rain produces sharp intensity variation in images and videos, which put down the performance of outdoor vision systems. These intensity variations depend on different parameters, such as the camera properties, the parameter of rain, and the brightness and sharpness of the scene. Removal of rain stripes in video is a hard task due to the random spatial distribution and fast motion of rain. Photometric, chromatic, and probabilistic properties of the rain have been exploited to detect and remove the rainy effect. This paper is introducing the Rain Pixel Algorithm with better performance for rainy scenes with large motion than exiting algorithm.

References
  1. Jie Chen and Lap-Pui Chau, '' A Rain Pixel Recovery Algorithm for Videos with Highly Dynamic Scenes", IEEE ImageProcessing, vol. 23, no. 3, March 2014.
  2. K. Garg and S. K. Nayar, "Detection and removal of rain from videos, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , vol. 1,Jul. 2004, pp. 528–535.
  3. X. Zhang, H. Li, Y. Qi, W. K. Leow, and T. K. Ng, "Rain removal in video by combining temporal and chro matic properties, " in Proc. IEEE Int. Conf. Multimedia Expo, Jul. 2006, pp. 461–464.
  4. K. Garg and S. K. Nayar, "Vision and rain, " Int. J. Compute Vis. , vol. 75, no. 1, pp. 3–27, 2007.
  5. A. K. Tripathi and S. Mukhopad hyay, "A probabilis tic approach for Detection and removal of rain from videos," IETE J. Res. , vol. 57, no. 1, p. 82–91, Mar. 2011
  6. A. Ogale, C. Fermuller, and Y. Aloimonos, "Motion segmentation using occlusions," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 27, no. 6, pp. 988–992, Jun. 2005.
  7. J. P. Koh, "Automatic segmentation using multiple cues classification," M. S. dissertation, School Electr. Electron. Eng. , Nanyang Technol. University, Singapore, 2003.
  8. C. M. Bishop, Pattern Recognition and Machine Learning. New York, NY, USA: Springer-Verlag, 2006, pp. 423–455, Ch. 9.
  9. R. J. Kubesh and K. V. Beard, "Laboratory measurements of spontaneous oscillations for moderate-size raindrops," J. Atmos. Sci. , vol. 50, no. 1, pp. 1089–1098, 1993.
  10. H. Stark and J. W. Woods, Probability and Random Process with Applications to Signal Processing, 3rd ed. Upper Saddle River, NJ, USA: Prentice-Hall, 2002, pp. 589–601.
  11. B. Heisele, U. Kressel, and W. Ritter, "Tracking non-rigid, moving objects based on color cluster flow," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , Jun. 1997, pp. 257–260.
Index Terms

Computer Science
Information Sciences

Keywords

Motion Segmentation Motion Buffering Motion Exclusion Rain Removal.