• DocumentCode
    2684814
  • Title

    Fast progressive wavelet coding

  • Author

    Malvar, Henrique S.

  • Author_Institution
    Microsoft Res., Redmond, WA, USA
  • fYear
    1999
  • fDate
    29-31 Mar 1999
  • Firstpage
    336
  • Lastpage
    343
  • Abstract
    Fast and efficient image compression can be achieved with the progressive wavelet coder (PWC) introduced. Unlike many previous wavelet coders, PWC does not rely on zerotrees or other ordering schemes based on parent-child wavelet relationships. PWC has a very simple structure, based on two key concepts: (1) data-independent reordering and blocking, and (2) low-complexity independent encoding of each block via adaptive Rice coding of bit planes. In that way, PWC allows for progressive image encoding that is scalable both in resolution and bit rate, with a fully embedded bitstream. PWC achieves a rate/distortion performance that is comparable to that of the state-of-the-art SPIHT (set partitioning in hierarchical trees) coder, but with a better performance/complexity ratio
  • Keywords
    adaptive codes; computational complexity; data compression; image coding; image resolution; rate distortion theory; transform coding; wavelet transforms; adaptive Rice coding; bit planes; data-independent blocking; data-independent reordering; embedded bitstream; image compression; low-complexity independent encoding; progressive image encoding; progressive wavelet coding; rate/distortion performance; resolution; scalable image encoding; Bandwidth; Bit rate; Clustering algorithms; Entropy; Image coding; Image resolution; Rate distortion theory; Spatial resolution; Transform coding; Wavelet coefficients; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1999. Proceedings. DCC '99
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-0096-X
  • Type

    conf

  • DOI
    10.1109/DCC.1999.755683
  • Filename
    755683