• DocumentCode
    2638907
  • Title

    A New Image Fusion Scheme Based on Wavelet Transform

  • Author

    Gao, Jingmin ; Liu, Zhenhui ; Ren, Tao

  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    441
  • Lastpage
    441
  • Abstract
    A new image fusion scheme based on wavelet transform is proposed in this paper. Firstly, the image is decomposed into high-frequency images and lowfrequency images with wavelet transform, then the spatial frequency and the contrast of the low-frequency image are measured to determine the fused lowfrequency image, and to the high-frequency image, we select the highfrequency coefficient based on the absolute value maximum principal and verify the consistency of these coefficients. Finally, the image can be reconstructed with Mallat algorithm. The experimental results show that the scheme can preserve all useful information from primitive images and the clarity and the contrast of the fused image are improved. The presented scheme is verified to be effective for the image fusion.
  • Keywords
    image fusion; wavelet transforms; Mallat algorithm; absolute value maximum principal; high-frequency images; image fusion; low-frequency images; spatial frequency; wavelet transform; Filters; Frequency measurement; Image fusion; Image reconstruction; Image sensors; Layout; Military computing; Redundancy; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.59
  • Filename
    4603630