• DocumentCode
    433201
  • Title

    Image fusion using weighted multiscale fundamental form

  • Author

    Chen, Tao ; Guo, Ruosan ; Peng, Silong

  • Author_Institution
    Nat. ASIC Design Eng. Center, Chinese Acad. of Sci., Beijing, China
  • Volume
    5
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    3319
  • Abstract
    Several images to be fused can be taken as a multivalued image. From multiscale fundamental form (MFF), a multivalued image wavelet representation can be obtained. In order to avoid the enlargement of the wavelet coefficients, the weighted multiscale fundamental form (WMFF) is exploited in our fusion process. The mutual information and the conditioned entropy are introduced to evaluate the fused result. Compared with the multiscale fundamental form, the weighted one has a better performance on image fusion.
  • Keywords
    image representation; sensor fusion; wavelet transforms; fusion process; image fusion; multivalued image wavelet representation; wavelet coefficients; weighted multiscale fundamental form; Application specific integrated circuits; Design automation; Design engineering; Eigenvalues and eigenfunctions; Entropy; Image fusion; Image resolution; Mutual information; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1421824
  • Filename
    1421824