• DocumentCode
    3238771
  • Title

    High dynamic range tone mapping based on Per-Pixel Exposure Mapping

  • Author

    Huang, Jie ; Rampersad, Valmiki ; Mann, Sebastian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • fDate
    27-29 June 2013
  • Firstpage
    98
  • Lastpage
    106
  • Abstract
    The needs of a realtime vision aid require that it functions immediately, not merely for production of a picture or video record to be viewed later. Therefore the vision system must offer a high dynamic range (often hundreds of millions to one) that functions in real time. In compliment with the existing efficient and real-time HDR compositing algorithms, we propose a novel method for compressing High Dynamic Range (HDR) images by Per-Pixel Exposure Mapping (PPEM). Unlike any existing methods, PPEM only varies exposure to achieve tone mapping. It takes advantage of the camera response to enable exposure synthesis which we call Wyckoff set expansion. The method evaluates the synthetic exposures in a recursive pairwise process to generate a tone mapped HDR image. The results can be approximated using a look-up table, which can be used for real-time HDR applications.
  • Keywords
    real-time systems; video recording; video signal processing; HDR compositing algorithms; HDR images; PPEM; high dynamic range images; high dynamic range tone mapping; per-pixel exposure mapping; real-time vision aid; video recording; Cameras; Clamps; Dynamic range; Noise; Real-time systems; Surveillance; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology and Society (ISTAS), 2013 IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • ISSN
    2158-3404
  • Print_ISBN
    978-1-4799-1242-1
  • Type

    conf

  • DOI
    10.1109/ISTAS.2013.6613107
  • Filename
    6613107