摘要
针对传统的红外与可见光图像融合方法计算复杂度高、运行机制过于机械的问题,提出一种基于剪切波变换(ST)与量子理论(QT)模型的红外与可见光图像融合方法。该方法利用ST优越的图像信息捕捉性能对源图像进行多尺度多方向分解;其次,采用QT理论针对低频子带图像和一系列高频子带图像进行融合;最后,采取ST反变换获得最终融合结果图像。
In order to settle the drawbacks including high computational complexities and the unreasonable mechanism of traditional fusion methods for infrared and visible light images, a novel fusion technique for infrared and visible light images based on shearlet transform （ST） and quantum theory （QT） model is proposed in this paper. Due to the better competence of image information capturing, ST is utilized to conduct the multi-scale and multi-directional decomposition of source images. In addition, the fusion of low-frequency sub-images and a series of high-frequency ones is conducted by using QT. Finally, the final fused image can be obtained by using inverse ST.
出处
《红外技术》
CSCD
北大核心
2015年第5期418-423,共6页
Infrared Technology
关键词
剪切波变换
量子理论
图像融合
红外图像
可见光图像
shearlet transform, quantum theory, image fusion, infrared image, visible light image
作者简介
张耀军（1979-），男，河南信阳人，硕士，讲师，主要研究方向为网络信息安全、图像智能信息处理等。
