Volume 4 Issue 5
Oct.  2011
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CHEN Xiao-lin, WANG Yan-jie. Infrared and visible image fusion based on nonsubsampled Contourlet transform[J]. Chinese Optics, 2011, 4(5): 489-496.
Citation: CHEN Xiao-lin, WANG Yan-jie. Infrared and visible image fusion based on nonsubsampled Contourlet transform[J]. Chinese Optics, 2011, 4(5): 489-496.

Infrared and visible image fusion based on nonsubsampled Contourlet transform

  • Received Date: 21 Jul 2011
  • Rev Recd Date: 23 Aug 2011
  • Publish Date: 25 Oct 2011
  • A fusion algorithm based on the Nonsubsampled Contourlet Transform(NSCT) is proposed to fuse infrared and visible images. A weighted averaging' scheme based on the physical features of infrared and visible images and a selection principle based on the local energy matching are presented for the low frequency subband coefficients and the high frequency subband coefficients, respectively. Experimental results show that the NSCT has a fast computing ability and can provide more image information due to the concentration energy by image processing. As compared to the image fusion algorithm based on pixels, this algorithm has higher fusion performance, and is a Multiscale Geometric Analysis(MGA) tool more suitable for image fusion.

     

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