Infrared and visible light images fusion of fuzzy logic on NSST domain

GE Wen; JI Pengchong; ZHAO Tianchen

doi:10.7510/jgjs.issn.1001-3806.2016.06.024

In order to retain more detail information and reduce the algorithm complexity when fusing the infrared and visible light images, a fusion algorithm based on non-subsampled shearlet transform (NSST) and improved fuzzy logic was proposed to decompose source images sparsely on multi-direction and multi-scale. Low-frequency subband coeffients and high-frequency subband coeffients were obtained. The improved average fusion method of fuzzy Cauchy membership function was adopted in low-frequency subband coeffients. The fusion rule of the combination of energy compatibility and visual sensitivity coefficient was used in high-frequency subband coeffients. Finally, fusion image was obtained after NSST inverse transformation. Experimental results show that the fusion method can not only guarantee the definition of fused image, but also shorten the running time of algorithm.

Infrared and visible light images fusion of fuzzy logic on NSST domain

1. Department of Electronic Engineering, School of Electronics and Information Engineering, Shenyang Aerospace University, Shenyang 110136, China

Received Date: 2015-08-17

Accepted Date: 2015-11-03

Available Online: 2016-11-25

Abstract: In order to retain more detail information and reduce the algorithm complexity when fusing the infrared and visible light images, a fusion algorithm based on non-subsampled shearlet transform (NSST) and improved fuzzy logic was proposed to decompose source images sparsely on multi-direction and multi-scale. Low-frequency subband coeffients and high-frequency subband coeffients were obtained. The improved average fusion method of fuzzy Cauchy membership function was adopted in low-frequency subband coeffients. The fusion rule of the combination of energy compatibility and visual sensitivity coefficient was used in high-frequency subband coeffients. Finally, fusion image was obtained after NSST inverse transformation. Experimental results show that the fusion method can not only guarantee the definition of fused image, but also shorten the running time of algorithm.

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Reference (16)

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Infrared and visible light images fusion of fuzzy logic on NSST domain

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通讯作者: 陈斌, bchen63@163.com

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