Fusion of Visible and Infrared Images Based on Non-Sampling Contourlet and Wavelet Transform

Yan Hai Wu; Hao Zhang; Fang Ni Zhang; Yue Hua Han

doi:10.4028/www.scientific.net/AMM.599-601.1523

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Fusion of Visible and Infrared Images Based on...

Fusion of Visible and Infrared Images Based on Non-Sampling Contourlet and Wavelet Transform

Abstract:

This paper gives a method for fusion of visible and infrared image, which combined non-sampling contourlet and wavelet transform. This method firstly makes contrast enhancements to infrared image. Next, does NSCT decomposition to visible image and enhanced-infrared image, then decomposes the low frequency from above decomposition using wavelet. Thirdly, for high-frequency subband of NSCT decomposition and high or low-frequency subband of wavelet, it uses different fusion rules. Finally, it gets fusion image through refactoring of wavelet and NSCT. Experiments show that the method not only retains texture details belong to visible images, but also highlights targets in infrared images. It has a better fusion effect.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1523-1526

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1523

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Online since:

August 2014

Authors:

Yan Hai Wu, Hao Zhang, Fang Ni Zhang, Yue Hua Han

Keywords:

Fusion Rules, Image Fusion, NSCT, Wavelet Transform (WT)

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References

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