• DocumentCode
    590772
  • Title

    High dynamic range image compression using base map coding

  • Author

    Fujiki, T. ; Adami, Nicola ; Jinno, Takao ; Okuda, Masumi

  • fYear
    2012
  • fDate
    3-6 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As the High dynamic range (HDR) images generally have more than 10 bit/1024 colors per channel, its enormous data size often needs to be reduced when transmitting or storing the images. Thus development for functional compression is one of important research topics. Recently a lot of techniques for the HDR image compression are being suggested, and several two-layer coding algorithms which separately encode a low dynamic range (LDR) image and a residual image have been studied. However, those methods are inefficient in coding performance. In this article, we suggest a new two-layer coding algorithm for the HDR images, which realizes two-layered dynamic range. Our method encodes a base map, which is a blurred version of the HDR, and LDR image produced by the base map. Our algorithm significantly improves a compression performance.
  • Keywords
    data compression; image coding; HDR image compression; base map coding; functional compression; high dynamic range image compression; low dynamic range image encoding; residual image; two-layer coding algorithm; Bit rate; Decoding; Dynamic range; Encoding; Image coding; Image color analysis; Quantization; High dynamic range image; Tone mapping; Two-layer encoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
  • Conference_Location
    Hollywood, CA
  • Print_ISBN
    978-1-4673-4863-8
  • Type

    conf

  • Filename
    6411919