• DocumentCode
    2403402
  • Title

    Sensing increased image resolution using aperture masks

  • Author

    Mohan, Ankit ; Huang, Xiang ; Tumblin, Jack ; Raskar, Ramesh

  • Author_Institution
    EECS Dept., Northwestern Univ., Evanston, IL
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a technique to construct increased-resolution images from multiple photos taken without moving the camera or the sensor. Like other super-resolution techniques, we capture and merge multiple images, but instead of moving the camera sensor by sub-pixel distances for each image, we change masks in the lens aperture and slightly defocus the lens. The resulting capture system is simpler, and tolerates modest mask registration errors well. We present a theoretical analysis of the camera and image merging method, show both simulated results and actual results from a crudely modified consumer camera, and compare its results to robust dasiablindpsila methods that rely on uncontrolled camera displacements.
  • Keywords
    cameras; image resolution; image sensors; aperture masks; blind methods; camera; consumer camera; image merging; image resolution; multiple photos; superresolution techniques; Apertures; Digital cameras; Image resolution; Image sensors; Layout; Lenses; Optical design; Optical diffraction; Optical filters; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587833
  • Filename
    4587833