Motion robust rain detection and removal from videos

Xinwei Xue, Xin Jin, Chenyuan Zhang, Satoshi Goto

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012 - Proceedings
ページ170-174
ページ数5
DOI
出版ステータスPublished - 2012
イベント2012 IEEE 14th International Workshop on Multimedia Signal Processing, MMSP 2012 - Banff, AB
継続期間: 2012 9 172012 9 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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