Abstract
On the basis of Nonsubsampled Contourlet Transform (NSCT) research, this paper proposed an improved image fusion algorithm based on the infrared and visible light image fusion. First of all, the NSCT was used to decompose the infrared image and the visible light image. Then the pixel feature energy weighted fusion rule and the neighborhood variance feature information fusion rule were used to get the low-frequency and high-frequency coefficients. Finally, the inverse NSCT was used to reconstruct the image to get the fused image. The experiment results show that this algorithm could effectively improve the image fusion quality. Keywordsimage fusion ; ( Nonsubsampled Contourlet Transform, NSCT);reconstruction; infrared image;visible light image
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