• DocumentCode
    3117958
  • Title

    Multiple dynamic range image coding for wireless sensor networks

  • Author

    Fang, Tao ; Fu, Cheng ; Falkowski, Bogdan J. ; Wang, Bang

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2944
  • Lastpage
    2949
  • Abstract
    High dynamic range (HDR) images require a higher number of bits per color channel than traditional images. This brings about problems to storage and transmission, especially in distributed wireless sensor networks in which transmission capability and energy consumption are critical issues. The paper proposes a structure of compressing multiple dynamic range images, which is called multiple dynamic range (MDR) coding. MDR imaging system is attractive due to the capability of reconstructing lower dynamic range images from partial bitstream. MDR coding shows its advantages in terms of energy efficiency in distributed wireless sensor networks. The efficacy of MDR coding is also illustrated by presenting the results of encoding a series of synthetic and natural MDR images.
  • Keywords
    data compression; image coding; image colour analysis; image reconstruction; wireless sensor networks; MDR image coding; color channel; distributed wireless sensor network; encoding; energy consumption; multiple dynamic range; partial bitstream; Batteries; Biosensors; Dynamic range; Energy consumption; Energy efficiency; Humans; Image coding; Image sensors; Video compression; Wireless sensor networks; energy efficiency; image coding; multiple dynamic range; sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811745
  • Filename
    4811745