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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Automatic single-frame-based rain streak removal via image decomposition


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83631


    Title: Automatic single-frame-based rain streak removal via image decomposition
    Authors: Li-Wei Kang;Chia-Wen Lin;Yu-Hsiang Fu
    教師: 林嘉文
    Date: 2012
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: IEEE TRANSACTIONS ON IMAGE PROCESSING, Institute of Electrical and Electronics Engineers, Volume 21, Issue 4, APR 2012, Pages 1742-1755
    Keywords: SPARSE REPRESENTATION
    DICTIONARIES
    VIDEO
    Abstract: 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.
    Relation Link: http:/dx.doi.org/10.1109/TIP.2011.2179057
    http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83631
    Appears in Collections:[電機工程學系] 期刊論文
    [光電研究中心] 期刊論文

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