| Summary: | Recently, single-image rain removal has attracted sustained attention. In this paper, we utilize a simple shape prior, the fact that the rain streaks often appear in an elongated elliptical shape, in a particular way for single image de-raining. With this prior, the patches of the rain layer are forced to have a high correlation with our synthetic ellipse matrix. Then, the rain layer is refined during each layer decomposition process with the correlation constraints. The experiments show that the proposed method outperforms the existing single image de-raining methods on both real and synthetic data. Moreover, our approach runs much faster than the other state-of-the-art de-raining methods.
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