• DocumentCode
    2550280
  • Title

    The technology research in decomposition and reconstruction of image based on two-dimensional wavelet transform

  • Author

    Zhang Xin-yang ; Zhang Ren-jin

  • Author_Institution
    Dept. Coll. of Math. & Comput. Sci., Guizhou Normal Univ., Guiyang, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1998
  • Lastpage
    2000
  • Abstract
    Wavelet is the last decade developed and quickly applied to a mathematical tool in many areas of image processing and speech analysis is a new breakthrough following Fourier (Joseph Fourier) analysis. Wavelet transform analysis of the local characteristics of the digital signal can depend on the scale stretching and displacement transformation, and then show the essential characteristics of digital signals within the. Firstly, the principle of the wavelet transform algorithm, and then use the two-dimensional discrete wavelet transform image decomposition and reconstruction, and experiments carried out by using MATLAB software environment. The desired results of experiments on wavelet transform image processing capability has been fully affirmed.
  • Keywords
    Fourier transforms; image reconstruction; wavelet transforms; Fourier analysis; displacement transformation; image processing; scale stretching; speech analysis; two-dimensional discrete wavelet transform image decomposition; two-dimensional discrete wavelet transform image reconstruction; wavelet transform analysis; Continuous wavelet transforms; Discrete wavelet transforms; Image reconstruction; MATLAB; Wavelet analysis; image decomposition and reconstruction; of MATLAB; wavelet analysis; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234204
  • Filename
    6234204