Motion robust rain detection and removal from videos

Xinwei Xue, Xin Jin, Chenyuan Zhang, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Weather such as rain and snow cause difficulties in processing the videos captured. Since the appearance of rain drops can affect the performance of human tracking and reduce the efficiency of video compression, detection and removal of rain is a challenging problem in outdoor surveillance systems. In this paper, we propose a new algorithm for rain detection, which is based on joint spatial and wavelet domain features. This approach is robust to the videos with moving objects in the rain. Experimental results demonstrated its better performance in comparison with the existing approaches in the subjective quality.

Original languageEnglish
Title of host publication2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012 - Proceedings
Pages170-174
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012 - Banff, AB
Duration: 2012 Sep 172012 Sep 19

Other

Other2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012
CityBanff, AB
Period12/9/1712/9/19

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing

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  • Cite this

    Xue, X., Jin, X., Zhang, C., & Goto, S. (2012). Motion robust rain detection and removal from videos. In 2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012 - Proceedings (pp. 170-174). [6343435] https://doi.org/10.1109/MMSP.2012.6343435