• DocumentCode
    2958667
  • Title

    Efficient and low-complexity image coding with the lifting scheme and modified SPIHT

  • Author

    Pan, Hong ; Siu, W.C. ; Law, N.F.

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    1959
  • Lastpage
    1963
  • Abstract
    In this paper, we propose an efficient and low complexity image coding algorithm based on the lifting wavelet transform and listless modified SPIHT (LWT-LMSPIHT). LWT-LMSPIHT jointly considers the advantages of progressive transmission and spatial scalability that were not fully provided by the SPIHT algorithm, thus it outperforms the SPIHT at low bit rates coding. The coding efficiency of LWT-LMSPIHT comes from three aspects. The lifting scheme lowers the number of arithmetic operations of the wavelet transform. Moreover, a significance reordering of the modified SPIHT ensures that it codes more significant information earlier in the bit stream belonging to the lower frequency bands than SPIHT to better exploit the energy compaction of the wavelet coefficients. Finally, a listless structure further reduces the amount of memory and improves the speed of compression by more than 47% for a 512 times 512 image, as compared with the SPIHT algorithm.
  • Keywords
    image coding; trees (mathematics); wavelet transforms; SPIHT; image coding; lifting wavelet transform; set partitioning in hierarchical trees; Bit rate; Compaction; Frequency; Image coding; Scalability; Signal processing; Signal processing algorithms; Streaming media; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634066
  • Filename
    4634066