• DocumentCode
    1797870
  • Title

    An image coding of shape adaptive wavelet-based contourlet transform

  • Author

    Zhenghua Shu ; Guodong Liu ; Zhihua Xie

  • Author_Institution
    Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    Contourlet wavelet transform and improved Contourlet transform large redundancy disadvantages, this paper proposes A shape-adaptive wavelet-based contourlet coding method, First, the theory of shape-adaptive wavelet-based contourlet is discussed, and the video object is decomposed into three-level shape-adaptive wavelet-based contourlet according to the mask image. Then, an extend-SPIHT method is proposed, which improve the efficiency of SPIHT method. the method not only has the general characteristics of zero tree wavelet coding algorithm based on the outside, also has the characteristic directionality and anisotropy, especially information and texture information of the image edge have good ability to capture and decode visual effect. The experimental results show that the image coding scheme SA-WBCT is proposed in this paper compression algorithm for compression effect is obviously better than that of classic and current advanced (especially at low bit rates), had higher PSNR value and subjective visual effect, so it has a bright application prospect.
  • Keywords
    image coding; trees (mathematics); wavelet transforms; SA-WBCT scheme; extend-SPIHT method; image coding scheme; shape-adaptive wavelet-based contourlet transformcoding method; three-level shape-adaptive wavelet-based contourlet; zero tree wavelet coding algorithm; Filter banks; Image coding; Image segmentation; PSNR; Shape; Wavelet transforms; A shape coding; Extened-SPIHT; Image coding; Shape-Adaptive Wavelet-Based Contourlet Transform(SA-WBCT);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009385
  • Filename
    7009385