• DocumentCode
    2837849
  • Title

    Wavelet Domain Dual Bi-Tree Set-Based Coding Algorithm of 1D Graphics Data

  • Author

    Li, Shigao ; Qin, Qianqing

  • Author_Institution
    Nat. Eng. Res. Center For Multimedia, Software, Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wavelet transform is extensive applied in image and signal compression. In this paper, a multiscale representation and coding algorithm based on wavelet transform is proposed for ID graphics data. Due to the correlation of inter-band wavelet coefficients, this coding algorithm is based on a set of hierarchical bi-trees similar with the SPIHT algorithm. A graph entity composed of a sequence of points is organized as double vectors. Thereinto, the first is for horizontal coordinates and the second is for vertical coordinates. And wavelet transform is applied to the two vectors respectively. And then the coding algorithm based on dual bi-tree sets is used to encode the wavelet coefficients. Because this algorithm is based on bitplane, the result bit stream is progressive. Experiments have proved the proposed algorithm is an efficient coding method of ID graphics data.
  • Keywords
    image coding; trees (mathematics); wavelet transforms; 1D graphics data; SPIHT algorithm; graph entity; hierarchical bi-trees; image compression; inter-band wavelet coefficients; multiscale representation; signal compression; wavelet domain dual bi-tree set-based coding algorithm; wavelet transform; Data compression; Data engineering; Geographic Information Systems; Graphics; Image coding; Software algorithms; Spatial resolution; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364563
  • Filename
    5364563