Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (9): 191-198.DOI: 10.3778/j.issn.1002-8331.2002-0131

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Image De-raining via Similar Patch Matching and Minimum Value Filtering

ZHU Jian, LIU Peiyu, CHEN Bingfeng, CAI Ruichu   

  1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
  • Online:2021-05-01 Published:2021-04-29



  1. 广东工业大学 计算机学院,广州 510006


Images taken in rainy days can be easily disturbed by rain streaks, which affects the feature extraction of the images and then leads to the degradation of the processing performance of the visual system. This paper proposes a single image rain removal algorithm based on similar patch matching and minimum value filtering. The method consists of two stages:detection and repairing. In the detection stage, rain pixels are marked by leveraging the brightness prior and direction information of rain. In the repairing stage, after similar patches are matched in both coarse-grained and fine-grained level, the pixels marked as rain pixels are replaced by the minimum value of the corresponding pixel in the similar patch found by the minimum value filter, while the ones marked as non-rain pixels remain unchanged. The algorithm is tested on both synthetic and real images. The experimental results show that the algorithm can accurately locate the rain pixel and match the similar patches, and thus eventually repairs the rain pixels with high quality. Compared with other methods, it has certain advantages in objective measurement and subjective vision.

Key words: image de-raining, rain detection, similar patch matching, minimum value filter



关键词: 图像去雨, 雨线检测, 相似块匹配, 最小值滤波