• DocumentCode
    120112
  • Title

    Improved Image Fusion Algorithm Based on Wavelet Transform in EFVS

  • Author

    Gang Li ; Yifeng Dong

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    In order to improve EFVS (Enhanced Flight Vision System) in visible light image and infrared image fusion efficiency, to enhance the real-time of Wavelet transform image fusion algorithm, put forward a kind of wavelet transform image fusion algorithm based on matrix Doolittle decomposition. The pixel matrix of the algorithm on the original image is decomposed by Doolittle, Wavelet fusion of upper triangular matrix Doolittle decomposition of image matrix, then using Doolittle matrix inversion to obtain the fusion image. Experimental results show that the algorithm can get better fusion effect, while ensuring a better real-time.
  • Keywords
    computer vision; image fusion; matrix decomposition; matrix inversion; wavelet transforms; Doolittle matrix inversion; EFVS; enhanced flight vision system; image fusion algorithm; matrix Doolittle decomposition; wavelet transform; Algorithm design and analysis; Entropy; Image fusion; Matrix decomposition; Wavelet analysis; Wavelet transforms; Doolittle decomposition; Enhanced Flight Vision System; Image Fusion; Infrared image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.42
  • Filename
    6923666