• DocumentCode
    304556
  • Title

    Stack-run coding for low bit rate image communication

  • Author

    Tsai, Min-Jen ; Villasensor, J.D. ; Chen, Feng

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    681
  • Abstract
    We describe a new wavelet image coding approach in which a 4-ary symbol set with two contexts is used to represent significant coefficient values and the lengths of zero runs between coefficients. This algorithm works by raster scanning within subbands, and therefore involves much lower addressing complexity than other algorithms such as zerotree coding that require the creation and maintenance of intersubband dependencies across different decomposition levels. Despite its simplicity, and the fact that these dependencies are not explicitly utilized, the algorithm presented here is competitive with the refinements of zerotree coding. Stack-run coding can also be applied in the absence of entropy coding, resulting in an even lower complexity coder which in many cases performs within 1 dB PSNR of the entropy coded version
  • Keywords
    communication complexity; image coding; transform coding; visual communication; wavelet transforms; 4-ary symbol set; addressing complexity; algorithm; coefficient values; contexts; low bit rate image communication; raster scanning; stack-run coding; subbands; wavelet image coding; zero run length; Bit rate; Context; Entropy coding; Image coding; Image communication; PSNR; Partitioning algorithms; Quantization; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.559590
  • Filename
    559590