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Single image deraining using local rain distribution map
DOI:10.1007/s11042-023-16972-9.png)
Abstract
En 中文
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.
Keywords:
Single image deraining
Rain streak detection
Local rain streak removal
Sparse distribution of rain streak
Journal
IF:
3
Papers:
2.0W
Citations:
3.2W

