Abstract
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Highlights
The rain-affected image sequences annoy human viewers and degrade image quality
Rain streaks are too small to be detected in single frame when the background is complex, but viewer can feel rain streaks in videos
To resolve the two difficult points described above, in this paper, we propose a general pixel based algorithm using chromatic property for removing rain from an ordinary video
Summary
The rain-affected image sequences annoy human viewers and degrade image quality. The degraded images decrease performance of computer vision algorithm in areas such as object detection, tracking, segmentation, video surveillance. Many algorithms are proposed to remove obvious rain streaks. Rain streaks are too small to be detected in single frame when the background is complex, but viewer can feel rain streaks in videos. Due to the imaging precision and video compression algorithms, it’s difficult to get the true intensity value of a rain-affected pixel. The existing algorithms just have good effectiveness for detecting and removing obvious and clear rain streaks. To resolve the two difficult points described above, in this paper, we propose a general pixel based algorithm using chromatic property for removing rain from an ordinary video
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