• DocumentCode
    1949792
  • Title

    The Modified Bidimensional Empirical Mode Decomposition for Image Denoising

  • Author

    Shen, Minfen ; Tang, Hongrong ; Li, Bin

  • Author_Institution
    Coll. of Eng., Shantou Univ., Guangdong
  • Volume
    4
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    In this paper, a method is proposed which uses the periodic compactly supported radial basis function (PCSRBF) to improve the bidimensional empirical mode decomposition (BEMD). PCSRBF not only has the fine interpolation and suppresses the boundary effect, but also has low computation cost. Experiments indicate that the method in this paper can gain better decompositions for BEMD
  • Keywords
    image denoising; interpolation; radial basis function networks; bidimensional empirical mode decomposition; boundary effect suppression; image denoising; interpolation; periodic compactly supported radial basis function; Computational efficiency; Data engineering; Data mining; Distributed computing; Educational institutions; Image denoising; Interpolation; Pollution; Scattering; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.346132
  • Filename
    4129824
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1949792