• DocumentCode
    597921
  • Title

    GPU-accelerated local tone-mapping for high dynamic range images

  • Author

    Qiyuan Tian ; Jiang Duan ; Guoping Qiu

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    This paper presents a very fast local tone mapping method for displaying high dynamic range (HDR) images. Though local tone mapping operators produce better local contrast and details, they are usually slow. We have solved this problem by designing a highly parallel algorithm, which can be easily implemented on a Graphics Processing Unit (GPU) to harvest high computational efficiency. At the same time, the proposed method mimics the local adaption mechanism of the human visual system and thus gives good results for a wide variety of images.
  • Keywords
    graphics processing units; image processing; GPU-accelerated local tone-mapping; HDR images; graphics processing unit; high computational efficiency; high dynamic range images; highly parallel algorithm; human visual system; local adaption mechanism; very fast local tone mapping method; Decision support systems; CUDA; GPU; Local tone mapping; high dynamic range; parallel computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466874
  • Filename
    6466874