• DocumentCode
    2667379
  • Title

    Low memory color image zerotree coding

  • Author

    Lin, Wen-Kuo ; Burgess, Neil

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    91
  • Lastpage
    95
  • Abstract
    Said and Pearlman´s set partitioning in hierarchical trees (SPIHT) algorithm (1996) is a well-known and efficient zerotree coding algorithm. However SPIHT´s high memory requirement is a major drawback for hardware implementation. We present a color image coding algorithm which requires much less memory during coding. Consequently the implementation complexity and hardware cost can be reduced significantly. Our experimental results show only a minor reduction of PSNR values when compared with the those obtained by the SPIHT codec illustrating well the trade-off between memory requirement and hardware simplicity
  • Keywords
    computational complexity; discrete wavelet transforms; image coding; image colour analysis; tree codes; hardware cost; hardware simplicity; implementation complexity; low memory color image zerotree coding; memory requirement; Bit rate; Codecs; Color; Costs; Discrete wavelet transforms; Hardware; Image coding; PSNR; Partitioning algorithms; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-5256-4
  • Type

    conf

  • DOI
    10.1109/IDC.1999.754132
  • Filename
    754132