• DocumentCode
    2172314
  • Title

    Image Fusion Using an Improved Max-Lifting Scheme

  • Author

    Yang, Bo ; Chen, Erkui

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel image fusion algorithm using an improved nonlinear wavelet-decomposition-scheme. The scheme is obtained by introducing redundancy in the max-lifting scheme. Experimental results based on real-world images show that the proposed algorithm produces good results in medical image fusion and visual-infrared image fusion; moreover, it is computationally efficient as a shift-invariant scheme.
  • Keywords
    image fusion; wavelet transforms; image fusion; improved Max-Lifting scheme; nonlinear wavelet-decomposition-scheme; Biomedical imaging; Educational institutions; Image fusion; Image reconstruction; Intelligent sensors; Layout; Multilevel systems; Paper technology; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304719
  • Filename
    5304719