• DocumentCode
    2282814
  • Title

    Multifocus image fusion based on nonsubsampled contourlet transform

  • Author

    Aili Wang ; ChangYan Qi ; Yuhui Han ; Xusheng Liu

  • Author_Institution
    Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations of Heilongjiang, Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2012
  • fDate
    18-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In recent years, image fusion has become the focus of image processing. For the fusion problems of the multifocus images with the same scence, this paper proposed a new fusion method based on nonsampled contourlet transform(NSCT). Firstly, source images are decomposed in different scales and directions by NSCT, thus the low frequency subband coefficients and the high frequency subband coefficients are obtained. Secondly, for the low frequency subband coefficients, we present a fusion rule based on the local entropy; while for the high frequency subband coefficients, a fusion rule based on the directional contrast combined with the local area energy is applied. Finally, the fused image is obtained through the inverse NSCT. Compared with the fusion method based wavelet and other fusion methods, the experiments show that this approach can achieve better results than them.
  • Keywords
    entropy; image fusion; wavelet transforms; NSCT; directional contrast; fusion method based wavelet method; fusion rule; high frequency subband coefficients; image processing; local area energy; local entropy; low frequency subband coefficients; multifocus image fusion method; nonsubsampled contourlet transform; source image decomposition; Entropy; Image fusion; Laser beams; Laser sintering; Laser theory; Standards; Transforms; directional contrast; image fusion; local area energy; local entropy; nonsubsampled contourlet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2012 7th International Forum on
  • Conference_Location
    Tomsk
  • Print_ISBN
    978-1-4673-1772-6
  • Type

    conf

  • DOI
    10.1109/IFOST.2012.6357605
  • Filename
    6357605