• DocumentCode
    1861930
  • Title

    A new algorithm for image fusion via sparse representation

  • Author

    Liu Ting ; Cheng Jian

  • Author_Institution
    University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, 611731, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    An image fusion method is presented to sharpen the multi-spectral image using sparse representation. Firstly, IHS transform is applied to multi-spectral image. Achieve new intensity component which takes the method of smoothing filter-based intensity modulation on the original intensity component. Subsequently, the intensity component and panchromatic image are fused their sparse coefficient through sparse representation. Finally, the fused image is achieved by the IHS transformation. The test results prove that suggested method improves spatial resolution and maintain spectral characteristics comparison with some conventional method.
  • Keywords
    image fusion; sparse representation; training dictionary;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.0942
  • Filename
    6492549