Automatic single-image-based rain streaks removal via image decomposition

Li Wei Kang*, Chia Wen Lin, Yu Hsiang Fu


研究成果: 雜誌貢獻期刊論文同行評審

488 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)1742-1755
期刊IEEE Transactions on Image Processing
出版狀態已發佈 - 2012 4月

ASJC Scopus subject areas

  • 軟體
  • 電腦繪圖與電腦輔助設計


深入研究「Automatic single-image-based rain streaks removal via image decomposition」主題。共同形成了獨特的指紋。