JEI Letters

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

[+] Author Affiliations
Qiong Zhang, Xavier Maldague

Laval University, Computer Vision and Systems Laboratory, 1065 Avenue de la Médecine, Québec City, G1V 0A6 Québec, Canada

J. Electron. Imaging. 26(1), 010501 (Jan 09, 2017). doi:10.1117/1.JEI.26.1.010501
History: Received February 11, 2016; Accepted December 16, 2016
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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.

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Citation

Qiong Zhang and Xavier Maldague
"Multisensor image fusion approach utilizing hybrid pre-enhancement and double nonsubsampled contourlet transform", J. Electron. Imaging. 26(1), 010501 (Jan 09, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.1.010501


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