• DocumentCode
    2732087
  • Title

    Multi-focus image fusion based on wavelet decomposition and evolutionary strategy

  • Author

    Ming, Li ; Yan, Wu ; Shunjun, Wu

  • Author_Institution
    Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    951
  • Abstract
    A new method is developed to merge two spatially registered images with different focus based on multi-resolution wavelet decomposition and evolutionary strategy (ES). At first, the wavelet decomposition without down-sampling is used to perform an adding of wavelet high-frequency components of each image. Then, in terms of differences of area-based energy feature in two original images, ES is adopted to partition the region and perform the fusion. The experimental results show that the proposed method can achieve better fusion performance than wavelet transform (WT) method.
  • Keywords
    evolutionary computation; image resolution; sensor fusion; wavelet transforms; data fusion; evolutionary strategy; multifocus image fusion; multiresolution wavelet decomposition; spatially registered images; wavelet transform method; Focusing; Frequency; Image fusion; Image resolution; Laboratories; Layout; Pixel; Radar signal processing; Target recognition; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1280758
  • Filename
    1280758