International Journal of Computer Vision
Detecting and extracting natural snow from videos
Information Processing Letters
Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks
International Journal of Computer Vision
Phase congruency based technique for the removal of rain from video
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
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Dynamic weather effects such as rain cause rapid, distracting motion in a video sequence. This paper aims to remove rain and similar effects from video footage using a multi-step approach; Regions are identified as being potentially affected by rain if they exhibit a short-duration intensity spike. Falling rain drops are imaged by a video camera in a predictable way, as a streak with a consistent range of possible aspect ratios. To preserve scene motion, regions identified by this criterion are investigated, and those that do not fit into the expected range of aspect ratios are ignored. Information about the direction of rainfall is also used to reduce false detections. The effectiveness of this technique is shown on a number of video sequences. The method presented provides advantages over existing techniques.