• DocumentCode
    468916
  • Title

    Image low frequency trend compression

  • Author

    Ge, Guang-tao ; Sang, En-fang ; Liu, Zhuo-fu ; Zhang, Zeng-zhe

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • Volume
    1
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    174
  • Lastpage
    178
  • Abstract
    The residue of the bidimensional empirical mode decomposition (BEMD) is the digital image low frequency trend. A method special for the compression of this large scale bi-dimensional signal has been introduced in this paper. Several concepts was introduced, such as the first IMF, the first residue and the grid characteristic points. Represented by the grid characteristic points, several local mean surfaces were respectively compressed. Thus, the high quality restoration of the first residue surface (image) was got by adding the several reconstructed local mean surfaces together. Experiments prove that this novel method has obvious advantages on the issue of compressing the low frequency information of one digital image compared with the current methods.
  • Keywords
    data compression; image coding; image reconstruction; bidimensional empirical mode decomposition; grid characteristic points; image low frequency trend compression; large scale bi-dimensional signal; reconstructed local mean surfaces; Chromium; Digital images; Frequency; Image coding; Notice of Violation; Pattern analysis; Pattern recognition; Signal processing; Surface reconstruction; Wavelet analysis; Bidimensional Empirical Mode Decomposition; image compression; the first residue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420658
  • Filename
    4420658