• DocumentCode
    3638585
  • Title

    Multi-exposure image acquisition for automotive high dynamic range imaging

  • Author

    Steffen Görmer;Stephanie Hold;Anton Kummert;Uri Iurgel;Mirko Meuter

  • Author_Institution
    Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany
  • fYear
    2010
  • Firstpage
    1881
  • Lastpage
    1886
  • Abstract
    Image acquisition is the elementary step on the way to a performing vision-based Driver Assistance System (DAS). Any visual information lost in the capturing process is irretrievably gone. Many application approaches do not consider any influence on the camera, but take the image data as is from the capturing device. This paper starts with an overview of the most relevant solutions of high dynamic range (HDR) imaging and introduces a novel and real-time capable approach of using multiple low dynamic range (LDR) images from an automotive camera. Especially the automatic exposure and gain control for the different exposed images is in the focus. In the next step the HDR histogram linearization and image fusion to a final 8-bit HDR-image is shown. The exposure control algorithm is proven to be fast and stable. The resulting image shows both dark and bright details accurately.
  • Keywords
    "Pixel","Dynamic range","Histograms","Cameras","Real time systems","Automotive engineering"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4244-7657-2
  • Electronic_ISBN
    2153-0017
  • Type

    conf

  • DOI
    10.1109/ITSC.2010.5625024
  • Filename
    5625024