红外技术2025，Vol.47Issue(4)：445-452,8.
基于轻量级多尺度聚合网络的红外图像电子变倍
Electronic Zooming of Infrared Image Based on Lightweight Multi-scale Aggregation Network
摘要
Abstract
To solve the problem of low-resolution infrared images affecting viewing and aiming in the photoelectric field,a lightweight multi-scale aggregation network is proposed to enhance the resolution of the central region when the IR image is zoomed.First,the algorithm uses scale kernels of different sizes to extract feature information and employs a shallow residual structure to effectively aggregate local multi-scale residual features,thereby obtaining stronger feature representation capability.Then,a channel attention layer based on contrast perception is used to aggregate more multi-scale feature information.Finally,a high-resolution infrared image with rich detail and clarity is reconstructed.Simulation results show that the zooming method can extract fine multi-scale feature information without introducing additional parameters and can produce clear reconstruction results.关键词
光电系统/红外图像/电子变倍/多尺度聚合/对比度感知/轻量级Key words
photoelectric system/infrared image/electronic zooming/multi-scale aggregation/contrast-aware/lightweight分类
计算机与自动化引用本文复制引用
刘馨,张斌..基于轻量级多尺度聚合网络的红外图像电子变倍[J].红外技术,2025,47(4):445-452,8.基金项目
2025年甘肃省高校教师创新基金项目(2025A-235) （2025A-235）
中国高校产学研创新基金资助课题(2024HY033) （2024HY033）
甘肃省重点人才项目(2025RCXM014) （2025RCXM014）
2023年甘肃省高校教师创新基金项目(2023B-239) （2023B-239）
2018年兰州工业学院青年科技创新项目(2018K-019). （2018K-019）
