• DocumentCode
    496358
  • Title

    An Image Coding Approach Using Wavelet-Based Adaptive Contourlet Transform

  • Author

    Yan, Yuzhen ; Tian, Zhiqiang ; Chongyuan Bi ; Bi, Chongyuan

  • Author_Institution
    Inst. of Artificial Intell. & Robot., Xi´´an Jiaotong Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    811
  • Lastpage
    815
  • Abstract
    In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.
  • Keywords
    adaptive codes; data compression; edge detection; filtering theory; image coding; image texture; wavelet transforms; Laplace pyramid decomposition; SPIHT code; directional filter bank; image coding approach; image compression coding; image edge; image texture; subband decomposition; wavelet-based adaptive contourlet transform; Artificial intelligence; Bismuth; Filter bank; Frequency; Image coding; Image reconstruction; Image sampling; Intelligent robots; PSNR; Wavelet transforms; contourlet; directional filter banks; image coding; laplace pyramid; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.309
  • Filename
    5193815