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Single image deraining using local rain distribution map
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PRE
AI
DOI：10.1007/s11042-023-16972-9.png)
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摘要
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Existing image deraining methods work on the entire domain of images causing the deraining results to contain rain streaks or over-smoothing. To alleviate these problems, we propose a local pixel rain streak removal method based on the observation that rain streaks are sparsely distributed in images when rain levels are slight and middle. We first propose a discriminative anisotropic gradient prior to efficiently extract rain streaks from the background and generate a rain streak distribution (RSD) mask. Then, we recover the information in the rain-distorted regions with the RSD mask using a simple multi-layer image inpainting method. Experiments on both synthesized and real-world images demonstrate that our method outperforms the state-of-the-art methods in terms of rain streak detection, removal, and information restoration.
Keyword:
Single image deraining
Rain streak detection
Local rain streak removal
Sparse distribution of rain streak
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
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