HU J, YANG L, QIAO P, et al. Research on Internal Defect Detection of Epoxy Glass Fiber Composites Based on Terahertz Imaging Technology[J]. Infrared Physics and Technology, 2023, 133: 104816. doi: 10.1016/j.infrared.2023.104816
BAUER M, HUSSUNG R, MATHEIS C, et al. Fast FMCW Terahertz Imaging for In-Process Defect Detection in Press Sleeves for the Paper Industry and Image Evaluation with a Machine Learning Approach[J]. Sensors, 2021, 21(19): 6569. doi: 10.3390/s21196569
IM K H, KIM S K, JUNG J A, et al. NDE Terahertz Wave Techniques for Measurement of Defect Detection on Composite Panels of Honeycomb Sandwiches[J]. Electronics, 2020, 9(9): 1360. doi: 10.3390/electronics9091360
WANG Y, QI F, ZHANG Z X, et al. Super-Resolution Reconstruction Algorithm for Terahertz Imaging below Diffraction Limit[J]. Chinese Physics B, 2023, 32(3): 038702. doi: 10.1088/1674-1056/aca9c7
卢旭阳, 毛军发, 吴林晟, 等. 太赫兹射频器件与集成技术研究[J]. 太赫兹科学与电子信息学报, 2023, 21(4): 393-436.
WANG Y, QI F, WANG J K. Terahertz Image Super-Resolution Based on a Complex Convolutional Neural Network[J]. Optics Letters, 2021, 46(13): 3123-3126. doi: 10.1364/OL.422684
YANG X W, ZHANG D H, WANG Z M, et al. Super-Resolution Reconstruction of Terahertz Images Based on a Deep-Learning Network with a Residual Channel Attention Mechanism[J]. Applied Optics, 2022, 61(12): 3363-3370. doi: 10.1364/AO.452511
唐鑫, 邹佳岐, 祝诗平, 等. 基于太赫兹成像技术的茶叶基质表面多菌灵农残分布与检测分析[J]. 西南大学学报(自然科学版), 2024, 46(6): 176-185. doi: 10.13718/j.cnki.xdzk.2024.06.015
张思言, 杜周南, 任一心, 等. 一种双三次插值实时超分辨率VLSI设计[J]. 西南大学学报(自然科学版), 2024, 46(4): 202-212. doi: 10.13718/j.cnki.xdzk.2024.04.019
钟梦圆, 姜麟. 超分辨率图像重建算法综述[J]. 计算机科学与探索, 2022, 16(5): 972-990.
郭佑东, 凌福日, 姚建铨. 基于梯度变换的太赫兹图像超分辨率重建[J]. 激光技术, 2020, 44(3): 271-277.
雷茂, 郭锋, 秦明伟. 基于改进POCS算法的太赫兹图像超分辨率重建[J]. 传感器与微系统, 2022, 41(3): 122-125.
HAN T, ZHAO L, WANG C. Research on Super-Resolution Image Based on Deep Learning[J]. International Journal of Advanced Network, Monitoring and Controls, 2023, 8(1): 58-65. doi: 10.2478/ijanmc-2023-0046
卢贺洋, 苏胜君, 袁明辉, 等. 太赫兹图像的超分辨率重建[J]. 红外技术, 2019, 41(1): 59-63.
LEDIG C, THEIS L, HUSZÁR F, et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, HI, USA. IEEE, 2017: 105-114.
刘竞博, 毛淇, 朱云龙. 基于太赫兹图像融合与深度学习的芯片缺陷检测方法[J]. 信息与控制, 2023, 52(3): 302-312.
FAN L, ZENG Y, YANG Q, et al. Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN[J]. Remote Sensing, 2021, 13(19): 3800. doi: 10.3390/rs13193800
WANG X T, XIE L B, DONG C, et al. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data[C]//2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Montreal, BC, Canada. IEEE, 2021: 1905-1914.
AHI K, SHAHBAZMOHAMADI S, ASADIZANJANI N. Quality Control and Authentication of Packaged Integrated Circuits Using Enhanced-Spatial-Resolution Terahertz Time-Domain Spectroscopy and Imaging[J]. Optics and Lasers in Engineering, 2018, 104: 274-284. doi: 10.1016/j.optlaseng.2017.07.007
XIE B. The THz Image Resolution Enhancement Algorithm Based on PSF[J]. Journal of Infrared and Millimeter Waves, 2023, 42(2): 193-196.
WEN S G, WANG J L. A Strong Baseline for Image and Video Quality Assessment[EB/OL]. (2021-11-13)[2023-11-18]. http://arxiv.org/abs/2111.07104.