• DocumentCode
    2366557
  • Title

    An Image Coding combines H.264 standard and Contourlet Transform

  • Author

    Zhenghua Shu ; Guodong Liu ; Lixin Gan ; Lin Zhang ; Shengqian Wang

  • Author_Institution
    Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Coll., Nanchang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    In this paper, we proposes A type Image Coding which is an experimental still image compression system that combines intra frame block prediction algorithms from the H.264 standard and Wavelet-Based Contourlet Transform(WBCT) with SPIHT image compression technology, followed by context adaptive binary arithmetic coding (CABAC) as used in H.264. The image compression algorithm using Wavelet-Based Contourlet Transform(WBCT) with modified SPIHT can effectively code image with more discontinuities along curve lines. Predicted image is subtracted from original image to give residual image, residual image has lots of discontinuous curve lines, it is typically 2-dimensional and curve singularities image. The result of the image coding compression scheme perform is much better than JPEG and AIC and almost is the same with JPEG-2000.
  • Keywords
    adaptive codes; arithmetic codes; binary codes; data compression; image coding; wavelet transforms; H.264 standard; SPIHT image compression technology; context adaptive binary arithmetic coding; image coding; intraframe block prediction algorithms; wavelet-based contourlet transform; Context; Image coding; Wavelet transforms; H.264; Wavelet-Based Contourlet; image coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7475-2
  • Type

    conf

  • DOI
    10.1109/ICCSNA.2010.5588874
  • Filename
    5588874