NSCT-Based Multi-Sensor Image Fusion Algorithm

Hai Feng Tan; Wen Jie Zhao; De Jun Li; Tian Wen Luo

doi:10.4028/www.scientific.net/AMM.347-350.3212

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350NSCT-Based Multi-Sensor Image Fusion Algorithm

NSCT-Based Multi-Sensor Image Fusion Algorithm

Abstract:

Against the defects that the favoritism method and average method in the multi-sensor image fusion are apt to impair the image contrast, an image fusion algorithm based on NSCT is proposed. Firstly, this algorithm applied NSCT to the rectified multi-sensor images from the same scene, then different fusion strategies were adopted to fuse the low-frequency and high-frequency directional sub-band coefficients respectively: regional energy adaptive weighted method was used for low-frequency sub-band coefficient; the directional sub-band coefficient adopted a regional-energy-matching program that combined weighted average method and selection method. Finally, the fusion image was obtained by NSCT inverse transformation. Experiments were conducted to IR and visible light image and multi-focus image respectively. And the fusion image was evaluated objectively. The experimental results show that the fusion image obtained through this algorithm has better subjective visual effects and objective quantitative indicators. It is also superior to the traditional fusion method.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3212-3216

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3212

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Online since:

August 2013

Authors:

Hai Feng Tan, Wen Jie Zhao, De Jun Li, Tian Wen Luo

Keywords:

Fusion Image, Multi-Sensor, NSCT, Regional Energy

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