• DocumentCode
    1290541
  • Title

    Rolling shutter distortion removal based on curve interpolation

  • Author

    Yufen Sun ; Gang Liu

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    58
  • Issue
    3
  • fYear
    2012
  • fDate
    8/1/2012 12:00:00 AM
  • Firstpage
    1045
  • Lastpage
    1050
  • Abstract
    In videos shot by rolling shutter cameras, rapid camera or object motion may cause obvious image distortions. This paper proposes a rectification method that removes rolling shutter distortions by performing curve interpolation for each pixel. This method does not require camera calibration, and it can handle camera and object motion simultaneously. The method only assumes that the motion is smooth. If camera motion alone causes distortions, a variation of this method requiring less computation can be used. Experiments on synthetic datasets and real videos show that the methods can remove rolling shutter distortions effectively.
  • Keywords
    curve fitting; distortion; image denoising; image motion analysis; interpolation; smoothing methods; video cameras; video signal processing; camera motion; curve interpolation; image distortion; image smoothing; object motion analysis; rapid camera; rectification method; rolling shutter camera; rolling shutter distortion removal; video shot; Accuracy; Algorithm design and analysis; Cameras; Delay; Interpolation; Solid modeling; Videos; CMOS image sensor; curve interpolation; post-processing technique; rolling shutterdistortion;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2012.6311354
  • Filename
    6311354