• DocumentCode
    3514828
  • Title

    HDR image compression using optimized tone mapping model

  • Author

    Sugiyama, Nagisa ; Kaida, Hironori ; Xue, Xinwei ; Jinno, Takao ; Adami, Nicola ; Okuda, Masahiro

  • Author_Institution
    Dept. of Inf. & Media Sci., Univ. of Kitakyushu, Kitakyushu
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1001
  • Lastpage
    1004
  • Abstract
    In this paper, we propose a coding algorithm for high dynamic range images (HDRI). Our encoder applies a tone mapping model based on scaled mu-Law encoding, followed by a conventional low dynamic range image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone mapped HDRI and its LDR version. By virtue of the nature of the model, not only the quality of the HDRI but also the one of LDRI are improved, compared with a state of the art in conventional HDRI compression. Furthermore the error caused by our tone mapping model encoding is theoretically analyzed.
  • Keywords
    data compression; image coding; HDR image compression; coding algorithm; high dynamic range images; low dynamic range image encoder; mapped HDRI; optimized tone mapping model; scaled mu-Law encoding; Automation; Cameras; Decoding; Dynamic range; Heuristic algorithms; Humans; Image coding; Layout; Transform coding; Visual system; HDRI; coding; tone mapping model;
  • 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.2009.4959755
  • Filename
    4959755