• DocumentCode
    567942
  • Title

    Application of the source reduction method with multiwavelets to image separation

  • Author

    Morimoto, Akira ; Ashino, Ryuichi ; Mandai, Takeshi

  • Author_Institution
    Inf. Sci., Osaka Kyoiku Univ., Osaka, Japan
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    384
  • Lastpage
    389
  • Abstract
    The blind image source separation problem is to estimate the number of the unknown source images and to separate the original images from superpositions of source images. The coefficients of the superposition are also unknown. Our proposed source reduction method has a potential to overcome the difficulty of previously proposed methods. In this paper, we give an algorithm of the method with continuous multiwavelet transform for the image separation. Various numerical experiments using the proposed algorithm ensure that our proposed source reduction method performs well for image separation. An example of numerical experiments is presented.
  • Keywords
    blind source separation; discrete wavelet transforms; image processing; blind image source separation problem; continuous multiwavelet transform; source image estimation; source image superposition; source reduction method; Continuous wavelet transforms; Estimation; Histograms; Source separation; Wavelet analysis; Blind image source separation; Continuous multiwavelet transform; Position-scale information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4673-1534-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2012.6294812
  • Filename
    6294812