• DocumentCode
    249773
  • Title

    Stereo video deraining and desnowing based on spatiotemporal frame warping

  • Author

    Jin-Hwan Kim ; Jae-Young Sim ; Chang-Su Kim

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5432
  • Lastpage
    5436
  • Abstract
    A novel rain (or snow) streak removal algorithm for stereo video sequences is proposed in this work. We observe that rain streaks appear at different locations in spatiotemporally adjacent frames. Thus, to derain a left-view frame, we synthesize it by warping the spatially adjacent right-view frame and the temporally previous and next frames, respectively. We subtract each warped frame from the original frame, and apply the median filter to the three difference images to obtain a reliable rain mask. Then, we remove rain streaks by replacing each rainy pixel value with a weighted average of non-locally neighboring pixel values. Experimental results demonstrate that the proposed algorithm removes rain streaks reliably and recovers original scene contents faithfully.
  • Keywords
    image sequences; median filters; stereo image processing; video signal processing; median filter; pixel value; spatiotemporal frame warping; spatiotemporally adjacent frames; stereo video deraining; stereo video sequences; streak removal algorithm; warped frame; Estimation; Integrated optics; Optical imaging; Rain; Snow; Spatiotemporal phenomena; Vectors; Video enhancement; deraining; frame warping; nonlocal means filtering; stereo deraining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026099
  • Filename
    7026099