Rain Removal in Videos Based on Optical Flow and Hybrid Properties Constraint

被引：0

作者：

Zhou, Yuan ^{[1
]}

Han, Yusheng ^{[1
]}

Zhou, Pucheng ^{[1
]}

机构：

[1] Army Officer Acad, Hefei, Peoples R China

来源：

2015 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The raindrops decrease the quality of outdoor surveillance system, and it brings difficulty for computer vision algorithm, especially in using feature information. This paper proposed a rain removal algorithm based on optical flow and hybrid properties constraint. To identify the candidate rain pixels, the optical flow is adopted. And then, the hybrid properties constraint of raindrops is used to refine the rain streaks. When the rain streaks are accurately detected, the scene can be restored by a weighted composing method. Experiments on rain-affected videos show the feasibility and validity of our algorithm.

引用

页码：143 / 147

页数：5

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