• DocumentCode
    2121722
  • Title

    Removing rolling shutter distortion using optical flow and RANSAC

  • Author

    Woo Jin Jeong ; Young Shik Moon

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    337
  • Lastpage
    338
  • Abstract
    CMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.
  • Keywords
    CMOS image sensors; image sequences; motion estimation; optical distortion; optical elements; sensor arrays; smart phones; CMOS camera modules; RANSAC; camera motion estimation algorithm; global motion vector; optical flow; rolling shutter distortion; sensor array; smartphone; Arrays; CMOS integrated circuits; Cameras; Computer vision; Optical distortion; Optical imaging; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066435
  • Filename
    7066435