Multisensor image fusion approach utilizing hybrid pre-enhancement and double nonsubsampled contourlet transform

Qiong Zhang; Xavier Maldague

doi:10.1117/1.JEI.26.1.010501

9 January 2017 Multisensor image fusion approach utilizing hybrid pre-enhancement and double nonsubsampled contourlet transform

Qiong Zhang, Xavier Maldague

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 1, 010501 (January 2017). https://doi.org/10.1117/1.JEI.26.1.010501

Abstract

A multisensor image fusion approach established on the hybrid-domain image enhancement and double nonsubsampled contourlet transform (NSCT) is proposed. The hybrid-domain pre-enhancement algorithm can promote the contrast of the visible color image. Different fusion rules are, respectively, selected and applied to obtain fusion results. The double NSCT framework is introduced to obtain better fusion performance than the general single NSCT framework. Experimental outcomes in fused images and performance results demonstrate that the presented approach is apparently more advantageous.

Citation Download Citation

Qiong Zhang and Xavier Maldague "Multisensor image fusion approach utilizing hybrid pre-enhancement and double nonsubsampled contourlet transform," Journal of Electronic Imaging 26(1), 010501 (9 January 2017). https://doi.org/10.1117/1.JEI.26.1.010501

Received: 11 February 2016; Accepted: 16 December 2016; Published: 9 January 2017

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