• DocumentCode
    3159769
  • Title

    Wavelet enhanced fusion algorithm for multisensor images

  • Author

    Gao, Jingli ; Li, Bo ; Bao, Yidong ; Ma, Fei

  • Author_Institution
    Software Eng. Coll., Pingdingshan Univ., Pingdingshan, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    5474
  • Lastpage
    5476
  • Abstract
    Due to the limitation of the image acquisition equipment itself and the constraints of taking environment and other factors, the resolution and contrast of the obtained images have declined, and some important information in the images was hidden in the acquisition process. Therefore, in order to get a richer picture, the source images must be enhanced prior to the integration, so as to access the hidden information. The proposed paper introduces the general integration scheme based on image enhancement, and presents a fusion method with the wavelet image enhancement technology. We first enhance the source images according to wavelet image enhancement technology, and then use the appropriate fusion rule to integrate the coefficients of the original images and the enhanced images. Experimental results show that the enhancement of the source images prior to integration, could improve the fusion effect and obtain the hidden information barely acquired through directly fusion without enhancement.
  • Keywords
    image enhancement; image fusion; wavelet transforms; image acquisition process; image enhancement; multisensor image; wavelet enhanced fusion algorithm; Entropy; Gray-scale; Image enhancement; Image fusion; Image resolution; Wavelet transforms; clarity; image enhancement; image fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768826
  • Filename
    5768826