基于Tetrolet变换的红外与可见光图像融合  

Fusion of Infrared and Visible Images Based on Tetrolet Transform

作　　者：李红 王凯 段群 LI Hong;WANG Kai;DUAN Qun(School of Computer Science,Xianyang Normal University,Xianyang 712000,Shaanxi,China)

机构地区：[1]咸阳师范学院计算机学院,陕西咸阳712000

出　　处：《咸阳师范学院学报》2024年第6期7-11,共5页Journal of Xianyang Normal University

基　　金：陕西省科技厅自然科学基础研究计划面上项目(2023-JC-YB-524);陕西省教育科学“十三五”规划课题(SGH18H350);咸阳师范学院“中青年拔尖人才”项目(XSYBJ202001);咸阳师范学院“学科带头人”项目(XSYXKDT202107);咸阳师范学院教改项目(2023C92)。

摘　　要：为了更好地保留热辐射信息和细节信息,文中提出一种基于Tetrolet变换的红外和可见光图像融合方法。首先,对红外和可见图像进行Tetrolet变换,得到低频系数和高频系数;为了更好地保留分解后的低频信息和高频信息,融合时对低频系数使用自适应能量加权的融合规则,对高频系数使用取最大值的融合方法;对融合后的低频系数和高频系数进行Tetrolet逆变换,得到最终的融合图像。实验结果表明,自适应加权和系数取大的融合规则能够更好地保留红外图像的热辐射信息和可见光图像的纹理细节信息,融合后的图像具有较好的视觉效果,客观评价指标也优于相应的对比方法。In order to retain the thermal radiation information and detail information,a novel infrared and visible image fusion method based on Tetrolet transform was proposed.Firstly,the original infrared and visible images were decomposed using Tetrolet transform.The low-frequency coefficients and the high-frequency coefficients were obtained.The rule of adaptive energy weighting was used for low-frequency coefficients.And the maximum value was used for the high-frequency coefficient.Finally,the fusion image was obtained by inversely transformed.The experimental results show that the proposed method can retain the thermal radiation information from infrared images and the details from visible images.The resulting image had better visual effects,while the evaluation index was better than the corresponding comparison methods.

关 键 词：红外图像与可见光图像 Tetrolet变换 自适应加权 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]