• DocumentCode
    2933387
  • Title

    An efficient image coding using multiple subbands integer wavelet decomposition

  • Author

    Zhang, Li-bao ; Yu, Xian-Chuan

  • Author_Institution
    Beijing Normal Univ., Beijing
  • fYear
    2007
  • fDate
    Nov. 28 2007-Dec. 1 2007
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.
  • Keywords
    image coding; wavelet transforms; entropy; image coding; integer wavelet decomposition; lossy compression; multiple subbands; Computational complexity; Discrete transforms; Discrete wavelet transforms; Entropy; Filter bank; Frequency; Image coding; Performance loss; Signal processing algorithms; Wavelet transforms; Image compression; entropy threshold choosing; integer wavelet transform; subband decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-1447-5
  • Electronic_ISBN
    978-1-4244-1447-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2007.4445910
  • Filename
    4445910