• DocumentCode
    2829230
  • Title

    An efficient embedded zerotree wavelet image codec based on intraband partitioning

  • Author

    Liu, Zhen ; Karam, Lina J.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    162
  • Abstract
    Embedded zerotree wavelet (EZW) coding, introduced by J. M. Shapiro (1993) and improved in the SPIHT codec of A. Said and W.A. Pearlman (1996), is a very effective wavelet image coding method. One main concept in EZW and SPIHT is the exploitation of self-similarity across different scales of the image wavelet transform to effectively compress the image data. This paper presents an efficient and fully embedded zerotree wavelet image codec that achieves a comparable and even better performance than SPIHT by exploiting only the self-similarity within the scales (intraband self-similarity). The proposed algorithm results in a simpler implementation and in a more efficient representation of the ordering information than SPIHT. Coding results are presented to illustrate the performance of the proposed embedded wavelet image codec
  • Keywords
    codecs; data compression; fractals; image coding; transform coding; wavelet transforms; EZW coding; SPIHT; embedded zerotree wavelet coding; image codec; image compression; intraband partitioning; intraband self-similarity; wavelet image coding; wavelet transform; Codecs; Context; Ergonomics; Image coding; Internet; Scalability; Sorting; Video compression; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899320
  • Filename
    899320