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Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition

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3 Author(s)
Kang, Li-Wei ; Inst. of Inf. Sci., Taipei, Taiwan ; Lin, Chia-Wen ; Yu-Hsiang Fu

Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image was rarely studied in the literature, where no temporal information among successive images can be exploited, making the problem very challenging. In this paper, we propose a single-image-based rain removal framework via properly formulating rain removal as an image decomposition problem based on morphological component analysis. Instead of directly applying a conventional image decomposition technique, the proposed method first decomposes an image into the low- and high-frequency (HF) parts using a bilateral filter. The HF part is then decomposed into a “rain component” and a “nonrain component” by performing dictionary learning and sparse coding. As a result, the rain component can be successfully removed from the image while preserving most original image details. Experimental results demonstrate the efficacy of the proposed algorithm.

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Image Processing, IEEE Transactions on  (Volume:21 ,  Issue: 4 )