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GE Wen, JI Pengchong, ZHAO Tianchen. Infrared and visible light images fusion of fuzzy logic on NSST domain[J]. LASER TECHNOLOGY, 2016, 40(6): 892-896. DOI: 10.7510/jgjs.issn.1001-3806.2016.06.024
Citation: GE Wen, JI Pengchong, ZHAO Tianchen. Infrared and visible light images fusion of fuzzy logic on NSST domain[J]. LASER TECHNOLOGY, 2016, 40(6): 892-896. DOI: 10.7510/jgjs.issn.1001-3806.2016.06.024
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Infrared and visible light images fusion of fuzzy logic on NSST domain

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

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  • Received Date: August 16, 2015
  • Revised Date: November 02, 2015
  • Published Date: November 24, 2016
    Graphical Abstract
    • 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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    • References (16)
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