• DocumentCode
    2631061
  • Title

    The nonsubsampled contourlet transform for image fusion

  • Author

    Tang, Lei ; Zhao, Feng ; Zhao, Zong-gui

  • Author_Institution
    PLA Univ. of Sci. & Technol., Nanjing
  • Volume
    1
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    305
  • Lastpage
    310
  • Abstract
    The nonsubsampled contourlet transform (NSCT) is one of the new geometrical image transform. This transform uses the nonsubsampled pyramids (NSP) and the nonsubsampled directional filter banks (NSDFB) to obtain a multiscale and multidirection decomposition of image. The NSCT is a shift-invariant transform contrast to the contourlet transform. The multiscale and multidirection image from NSCT is as big as the source image. A image fusion scheme based on the NSCT was presented. Firstly, the NSCT is used to perform a multiscale and multidirection decomposition of each image. Then the NSCT coefficients of fused image are constructed using multiple operators according to different fusion rules. The experimental results show that the fusion scheme is effective and the fused images are better than that of using the Laplacian pyramid transform, the wavelet transform and the contourlet transform.
  • Keywords
    image fusion; image sampling; wavelet transforms; geometrical image transform; image fusion; multidirection image; multiscale image; nonsubsampled contourlet transform; nonsubsampled directional filter bank; nonsubsampled pyramid; shift-invariant transform; wavelet transform; Discrete wavelet transforms; Filter bank; Image fusion; Image resolution; Image sensors; Laplace equations; Pattern analysis; Sensor fusion; Wavelet analysis; Wavelet transforms; contourlet transform; directional filter bank; image fusion; multiscale and multidirection decomposition; nonsubsampled; redundancy; wavelet transform;
  • 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.2007.4420684
  • Filename
    4420684