空天防御2025，Vol.8Issue(4)：85-93,9.
轻薄红外计算成像重建算法的边缘芯片部署方法研究
Edge Chip Deployment Methods for Lightweight Infrared Computational Imaging Reconstruction Algorithms
摘要
Abstract
By integrating intelligent algorithm-driven image processing techniques,computational imaging has the potential to transcend the limits of conventional hardware-centric optical systems,enabling optical systems to achieve high performance and a compact design.Focusing on the image reconstruction requirements in lightweight infrared single-lens computational imaging,this study investigated lightweight model deployment methodologies tailored for edge AI chips.Through targeted operator optimisation,model pruning,and quantisation implemented on edge devices,the deployed U-Net reconstruction model achieved a 52.3%reduction in parameters and a 60.3%reduction in computational operations,resulting in a 56%acceleration in edge processing frame rate while sacrificing only 0.91 dB in PSNR and 0.021 in SSIM.Further architectural simplification allowed ultra-high-speed video-rate on-chip image reconstruction exceeding 95 FPS,at the cost of just 1.3 dB PSNR and 0.018 SSIM.The experiments examined edge hardware acceleration for computational single-chip infrared camera reconstruction algorithms.This study provides technical references for engineering applications of lightweight infrared computational imaging systems.关键词
红外成像/计算成像/边缘计算/深度学习/模型优化/硬件加速Key words
infrared imaging/computational imaging/edge computing/deep learning/model optimization/hardware acceleration分类
信息技术与安全科学引用本文复制引用
赵紫昱,王绪泉,马杰,邢裕杰,顿雄,王占山,程鑫彬..轻薄红外计算成像重建算法的边缘芯片部署方法研究[J].空天防御,2025,8(4):85-93,9.基金项目
国家自然科学基金项目(62305250,62105243) （62305250,62105243）
