• DocumentCode
    1836156
  • Title

    A self-adapting high dynamic-range visual representation algorithm for AER imagers

  • Author

    Tiziani, Mauro ; Massari, Nicola ; Jawed, Syed Arsalan ; Gottardi, Massimo

  • Author_Institution
    Microsyst. Div., Fondazione Bruno Kessler, Trento
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    1388
  • Lastpage
    1391
  • Abstract
    A novel algorithm for high intra-scene dynamic-range images representation is here proposed, which is based on Address Event Representation (AER) visual data. The values of the spiking pixels coming from the sensor are dynamically mapped into an 8-bit output, providing a real-time equalization of the scene. The algorithm has been tested using an AER emulator, based on a time-to-first spike imager. The simple implementation of the proposed technique makes it particularly suitable for AER sensors, turning into a real time processing and large programmability on the output tone mapping.
  • Keywords
    image representation; image sensors; address event representation; high intra-scene dynamic-range images representation; real-time equalization; self-adapting high dynamic-range visual representation algorithm; time-to-first spike imager; CMOS process; Costs; Dynamic range; Energy consumption; Heuristic algorithms; Layout; Pixel; Pulse width modulation; Space vector pulse width modulation; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541686
  • Filename
    4541686