红外技术2017，Vol.39Issue(12)：1127-1130,4.
基于NSCT红外与可见光图像融合算法优化研究
Improved Infrared and Visible Light Image Fusion Algorithm Based on NSCT
摘要
Abstract
In order to provide more efficient information for subsequent image processing, an improved algorithm has been proposed for infrared and visible image fusion. Non-subsampled contourlet transform(NSCT) was used to decompose an infrared image and a visible light image. The pixel feature energy weighted fusion rule and the neighborhood variance feature information fusion rule were used to obtain the low-frequency and high-frequency coefficients. Finally, the inverse NSCT was used to reconstruct the image to obtain a fused image. The fused image resolution of the optimized algorithm is 2.22% higher than that of the Contourlet algorithm, and nearly 3.1% better in terms of image information richness. The experimental results demonstrate that this algorithm could effectively improve image fusion quality.关键词
图像融合/NSCT变换/红外图像/可见光图像Key words
image fusion/NSCT/infrared image/visible light image分类
信息技术与安全科学引用本文复制引用
肖中杰..基于NSCT红外与可见光图像融合算法优化研究[J].红外技术,2017,39(12):1127-1130,4.基金项目
青海省创新基金(2016-ZJ-Y04). （2016-ZJ-Y04）
