文献类型：会议论文

英文题名：Adaptive weighted image fusion algorithm based on NSCT multi-scale decomposition

作者：Liu, Jia[1]; Duan, Miyi[2]; Chen, Wen-Bai[3]; Shi, Haobin[4]

第一作者：刘佳

通讯作者：Duan, Miyi

机构：[1] Beihang University, Smart City College, Beijing Union University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, China; [2] Beihang University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, China; [3] Beijing Information Science and Technology University, School of Automation, Beijing, China; [4] Northwestern Polytechnical University, School of Computer Science, Xi' an, China

第一机构：北京联合大学智慧城市学院

会议论文集：2020 International Conference on System Science and Engineering, ICSSE 2020

会议日期：August 31, 2020 - September 3, 2020

会议地点：Kagawa, Japan

语种：英文

外文关键词：Infrared imaging - Light - Scales (weighing instruments)

摘要：The purpose of infrared image and visible light image fusion is to preserve as much as possible the target information in the infrared image and the detailed information in the visible light image. For this purpose, this paper first extracts the infrared image saliency map based on guided filtering, uses NSCT to decompose infrared and visible light images at multiple scales, adds the infrared image saliency map to the low-frequency component, and applies weighted average fusion through the adaptive infrared weight map. In the high frequency component, the absolute value of the maximum coefficient is taken to be the maximum for fusion. This method takes into account the generally high brightness of human targets in infrared images, maintains the edge information of the image, and fully considers the anti-noise performance of the fusion method, and can adaptively take into account the complex and changeable environment. ? 2020 IEEE.