• DocumentCode
    3483381
  • Title

    Image fusion algorithms and metrics duality index

  • Author

    Hossny, M. ; Nahavandi, S.

  • Author_Institution
    Centre for Intell. Syst. Res., Deakin Univ., Waurn Ponds, VIC, Australia
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    2193
  • Lastpage
    2196
  • Abstract
    This paper discusses the duality between image fusion algorithms and quality metrics. It discusses odd cases where some quality metrics fail to estimate the added information and proposes a duality index that measures how suitable the metrics are to fusion algorithms. The proposed duality index serves as an objective function against which combinations of fusion algorithms, metrics, and their parameters are tested.
  • Keywords
    image fusion; image fusion algorithms; metrics duality index; objective function; Counting circuits; Entropy; Fuses; Image fusion; Image processing; Intelligent systems; Mean square error methods; Mutual information; Navigation; Testing; Duality; Image fusion; Metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413850
  • Filename
    5413850
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3483381