When infrared images and visible light images use traditional image fusion technology for image fusion, there are the problems such as blurred details and decreased contrast in the fusion image.In response to such problems,this paper proposes an image fusion method of combining NSCT through the area-ratio of pulse coupling neural network (PCNN).First of all,the two way bidding of the histogram is pre-processing the source image.Secondly,through the NSCT decomposition image,the low-frequency belt and high frequency belt are obtained.The fusion rule obtains the low-frequency fusion coefficient.Finally,the NSCT inverter replace the processing of high and low frequency fusion coefficients to obtain the fusion image.The experiment results show that the fusion algorithm of this article is superior to traditional image fusion algorithms in retaining image information and enhancing image contour information,which improves image contrast.
Key words
NSCT /
PCNN /
area ratio /
right-directional diagram two-way equilibrium /
weighted average
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