• DocumentCode
    1972564
  • Title

    Study of the Image Compression Based on SPIHT Algorithm

  • Author

    Wang, Jianxiong ; Zhang, Fuxia

  • Author_Institution
    Coll. of Water Resources & Hydropower & Archit., Yunnan Agric. Univ., Kunming, China
  • fYear
    2010
  • fDate
    22-23 June 2010
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    Wavelet analysis is internationally recognized up to the minute tools for time-frequency. It gets an unprecedented development based on Fourier analysis and plays an important role in the signal processing especially in image compression. By analyzing the relations of the coefficients between each son block and the whole image, we can find the index position of the sub-band of each son block in the same sub-band of the whole image is same as that of the son block in the origin image. Using the conclusion, an image compression-based on the Set Partition in Hierarchical Tree (SPIHT) algorithm is principally researched and analyzed in this paper, its algorithm idea and steps is given. Finally, the experiment results show it is a good algorithm for wavelet coefficients compression.
  • Keywords
    Fourier analysis; data compression; image coding; wavelet transforms; Fourier analysis; SPIHT; SPIHT algorithm; image compression; set partition in hierarchical tree; wavelet analysis; Algorithm design and analysis; Image coding; Image reconstruction; Partitioning algorithms; Pixel; Signal processing algorithms; Wavelet transforms; SPIHT algorithm; Wavelet analysis; image compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-6640-5
  • Electronic_ISBN
    978-1-4244-6641-2
  • Type

    conf

  • DOI
    10.1109/ICICCI.2010.70
  • Filename
    5566019