• DocumentCode
    254589
  • Title

    Space-Variant Image Deblurring on Smartphones Using Inertial Sensors

  • Author

    Sindelar, Ondfej ; Scoubek, Filip ; Milanfar, Peyman

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Prague, Czech Republic
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    191
  • Lastpage
    192
  • Abstract
    Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.
  • Keywords
    gyroscopes; image restoration; mobile computing; smart phones; Android smartphone; camera motion trajectory detection; gyroscopes; rotational inertial sensors; space-variant image deblurring technology; Cameras; Deconvolution; Gyroscopes; Image reconstruction; Image sensors; Sensors; Smart phones; gyroscope; mobile phone; space-variant deconvolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPRW.2014.34
  • Filename
    6909979