Non-sampling contourlet based "consistency verification" method of image fusion

  • Authors:

  • Shi-Bin Xuan;Gao-Li Sang;Bo Zhao;Zeng-Guo Zheng

  • Affiliations:

  • School of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, China;School of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, China;School of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, China;School of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, China

  • Venue:
  • ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
  • Year:
  • 2011

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Abstract

The image fusion is one of the important research areas of data fusion. The wavelet-based fusion is the most popular image fusion methods at present. To remove "block" appeared in the results of wavelet-based fusion, the paper proposes a window-based "consistency verification" which is used to deal with the fusion result image obtained through Non-sampling contourlet transform (NSCT). Within the window scope, the algorithm takes the current coefficient as the centre point of the window, and statistics the coefficients derived from each source image. Then the weights are assigned according to each source image occupy the proportional in the window. At last the value of the window center can be automatically determined by re-weighting. Experimental results show proposed algorithm is feasible and effective.