Phase Congruency Based Technique for the Removal of Rain from Video

  • Varun Santhaseelan
  • Vijayan K. Asari
Conference paper

DOI: 10.1007/978-3-642-21593-3_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6753)
Cite this paper as:
Santhaseelan V., Asari V.K. (2011) Phase Congruency Based Technique for the Removal of Rain from Video. In: Kamel M., Campilho A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6753. Springer, Berlin, Heidelberg

Abstract

Rain is a complex dynamic noise that hampers feature detection and extraction from videos. The presence of rain streaks in a particular frame of video is completely random and cannot be predicted accurately. In this paper, a method based on phase congruency is proposed to remove rain from videos. This method makes use of the spatial, temporal and chromatic properties of the rain streaks in order to detect and remove them. The basic idea is that any pixel will not be covered by rain at all instances. Also, the presence of rain causes sharp changes in intensity at a particular pixel. The directional property of rain streaks also helps in the proper detection of rain affected pixels. The method provides good results in comparison with the existing methods for rain removal.

Keywords

Phase congruency rain removal alpha blending 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Varun Santhaseelan
    • 1
  • Vijayan K. Asari
    • 1
  1. 1.University of DaytonDaytonUSA

Personalised recommendations