• DocumentCode
    2647616
  • Title

    Binary tree image compression algorithm based on wavelet transform via lifting scheme

  • Author

    Wang, Cheng-You ; Hou, Zheng-Xin ; Yang, Ai-Ping

  • Author_Institution
    Tianjin Univ., Tianjin
  • Volume
    4
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    1528
  • Lastpage
    1533
  • Abstract
    In this paper, all phase interpolation filter banks were designed and binary tree wavelet coding algorithm was proposed based on the basic idea of lifting scheme and SPIHT algorithm. The encoding algorithms can be stopped at any compressed file size or let run until the compressed file is a representation of a nearly lossless image. The experiment results on test images show that compared with SPIHT algorithm, the PSNR of the proposed algorithm is superior at the same bit rates about 0.5 dB and the subjective quality of reconstructed images is better too.
  • Keywords
    data compression; image coding; wavelet transforms; binary tree image compression algorithm; interpolation filter banks; lifting scheme; set partitioning in hierarchical trees; wavelet transform; Algorithm design and analysis; Binary trees; Bit rate; Filter bank; Image coding; Image reconstruction; Interpolation; PSNR; Testing; Wavelet transforms; Set Partitioning in Hierarchical Trees (SPIHT); binary tree coding algorithm; image compression; lifting scheme; quincunx sampling; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421693
  • Filename
    4421693