Single-image deraining using an adaptive nonlocal means filter

Jin Hwan Kim, Chul Lee, Jae Young Sim, Chang-Su Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    268 Citations (Scopus)

    Abstract

    An adaptive rain streak removal algorithm for a single image is proposed in this work. We observe that a typical rain streak has an elongated elliptical shape with a vertical orientation. Thus, we first detect rain streak regions by analyzing the rotation angle and the aspect ratio of the elliptical kernel at each pixel location. We then perform the nonlocal means filtering on the detected rain streak regions by selecting nonlocal neighbor pixels and their weights adaptively. Experimental results demonstrate that the proposed algorithm removes rain streaks more efficiently and provides higher restored image qualities than conventional algorithms.

    Original languageEnglish
    Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
    PublisherIEEE Computer Society
    Pages914-917
    Number of pages4
    ISBN (Print)9781479923410
    DOIs
    Publication statusPublished - 2013
    Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
    Duration: 2013 Sept 152013 Sept 18

    Publication series

    Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

    Other

    Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
    Country/TerritoryAustralia
    CityMelbourne, VIC
    Period13/9/1513/9/18

    Keywords

    • Image enhancement
    • deraining
    • kernel regression
    • nonlocal means filter
    • rain streak removal

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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