• DocumentCode
    3515140
  • Title

    The gigavision camera

  • Author

    Sbaiz, Luciano ; Yang, Feng ; Charbon, Edoardo ; Süsstrunk, Sabine ; Vetterli, Martin

  • Author_Institution
    LCAV - Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1093
  • Lastpage
    1096
  • Abstract
    We propose a new image device called gigavision camera. The main differences between a conventional and a gigavision camera are that the pixels of the gigavision camera are binary and orders of magnitude smaller. A gigavision camera can be built using standard memory chip technology, where each memory bit is designed to be light sensitive. A conventional gray level image can be obtagray level image can be obtained from the binary gigavision image by low-ined from the binary gigavision image by low-pass filtering and sampling. The main advantage of the gigavision camera is that its response is non-linear and similar to a logarithmic function, which makes it suitable for acquiring high dynamic range scenes. The larger the number of binary pixels considered, the higher the dynamic range of the gigavision camera will be. In addition, the binary sensor of the gigavision camera can be combined with a lens array in order to realize an extremely thin camera. Due to the small size of the pixels, this design does not require deconvolution techniques typical of similar systems based on conventional sensors.
  • Keywords
    image resolution; image sensors; low-pass filters; gigavision camera; gray level image; logarithmic function; low-pass filtering; memory chip technology; Cameras; Deconvolution; Dynamic range; Filtering; Image sampling; Layout; Lenses; Low pass filters; Sensor arrays; Sensor systems; computational photography; high dynamic range imaging; logarithmic sensor response; thin camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959778
  • Filename
    4959778