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  • Received: Oct. 9, 2007

    Accepted: --

    Posted: May. 20, 2008

    Published Online: May. 20, 2008

    The Author Email: Qiang Zhang (zhangqiang134@163.com)

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    Baolong Guo, Qiang Zhang, Ye Hou. Region-based fusion of infrared and visible images using nonsubsampled contourlet transform[J]. Chinese Optics Letters, 2008, 6(5): 338

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Chinese Optics Letters, Vol. 6, Issue 5, 338 (2008)

Region-based fusion of infrared and visible images using nonsubsampled contourlet transform

Baolong Guo, Qiang Zhang*, and Ye Hou

Author Affiliations

  • ICIE Institute, School of Electromechanical Engineering, Xidian University, Xi’an 710071

Abstract

With the nonsubsampled contourlet transform (NSCT), a novel region-segmentation-based fusion algorithm for infrared (IR) and visible images is presented. The IR image is segmented according to the physical features of the target. The source images are decomposed by the NSCT, and then, different fusion rules for the target regions and the background regions are employed to merge the NSCT coefficients respectively. Finally, the fused image is obtained by applying the inverse NSCT. Experimental results show that the proposed algorithm outperforms the pixel-based methods, including the traditional wavelet-based method and NSCT-based method.

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