• DocumentCode
    3093461
  • Title

    Fusion Algorithm for Infrared-Visual Image Sequences

  • Author

    Wang Xin ; Li Gaolue

  • Author_Institution
    Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
  • fYear
    2011
  • fDate
    12-15 Aug. 2011
  • Firstpage
    244
  • Lastpage
    248
  • Abstract
    A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.
  • Keywords
    image fusion; image motion analysis; image sequences; object detection; transforms; video signal processing; image fusion algorithm; infrared-visual image sequence; mixed interframe difference; moving target detection; nonsubsampled contourlet transform; Filter banks; Image fusion; Image sequences; Real time systems; Wavelet transforms; NSCT; image sequence fusion; mixed frame difference; moving target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics (ICIG), 2011 Sixth International Conference on
  • Conference_Location
    Hefei, Anhui
  • Print_ISBN
    978-1-4577-1560-0
  • Electronic_ISBN
    978-0-7695-4541-7
  • Type

    conf

  • DOI
    10.1109/ICIG.2011.30
  • Filename
    6005561