• DocumentCode
    2039679
  • Title

    LIS-No-Classification Wavelet Image Coding Algorithm Based on Lifting Scheme

  • Author

    Tang, Guowei ; Gu, Guochang

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure of LIS in SPIHT algorithm, merges the modified processing procedure of type B node with that of type A node, encodes the significant coefficients universally in accordance with the sequence of the spatial orientation tree from son generation to grandson generation. The experiment results show that the proposed algorithm improve the speed of encoding effectively while the visual effect of the reconstructed images is kept.
  • Keywords
    image classification; image coding; image reconstruction; trees (mathematics); wavelet transforms; LIS-no-classification wavelet image coding algorithm; SPIHT algorithm; classification judgment; classification procedure; human vision property; lifting scheme; list of insignificant pixels; reconstructed images; spatial orientation tree; wavelet transform; Educational institutions; Encoding; Humans; Image coding; Image restoration; Machine vision; Matching pursuit algorithms; Partitioning algorithms; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072941
  • Filename
    5072941