Temperature‐Robust Learned Image Recovery for Shallow‐Designed Imaging Systems

W Chen, B Qi, X Liu, H Li, X Hao… - Advanced Intelligent …, 2022 - Wiley Online Library
Imaging systems are widely applied in harsh environments where the performance of
shallow‐designed systems may deviate from expectation. As a representative scenario …

Deep learning-based thermal image reconstruction and object detection

G Batchuluun, JK Kang, DT Nguyen, TD Pham… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, thermal cameras are being widely used in various fields, such as intelligent
surveillance, biometrics, and health monitoring. However, the high cost of the thermal …

[HTML][HTML] Infer thermal information from visual information: A cross imaging modality edge learning (cimel) framework

S Wang, J Mei, L Yang, Y Zhao - Sensors, 2021 - mdpi.com
The measurement accuracy and reliability of thermography is largely limited by a relatively
low spatial-resolution of infrared (IR) cameras in comparison to digital cameras. Using a …

Thermal image reconstruction using deep learning

G Batchuluun, YW Lee, DT Nguyen, TD Pham… - IEEE …, 2020 - ieeexplore.ieee.org
A high-resolution thermal camera is very expensive and is thus difficult to be used.
Furthermore, thermal images become blurred in various cases of object motion, camera …

Lightweight Thermal Super-Resolution and Object Detection for Robust Perception in Adverse Weather Conditions

P Shyam, HJ Yoo - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
In this work, we examine the potential application of thermal cameras in improving
perception capabilities in adverse weather conditions like snow, night-time driving, and …

VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture

H Yun, S Lo, CH Diepenbrock… - Proceedings of the …, 2024 - openaccess.thecvf.com
Thermal cameras are an important tool for agricultural research because they allow for non-
invasive measurement of plant temperature which relates to important photochemical …

FEGAN: A Feature-Oriented Enhanced GAN for Enhancing Thermal Image Super-Resolution

L Zhu, R Wu, BG Lee, L Nkenyereye… - IEEE Signal …, 2024 - ieeexplore.ieee.org
Infrared thermal imaging presents significant potential in various domains. However, the
widespread development of this technology is hindered by the high cost associated with …

An Efficient Object Detection and Classification from Restored Thermal Images based on Mask RCNN

E Thenmozhi, A Karunakaran… - … Conference on I …, 2022 - ieeexplore.ieee.org
In recent years, thermal cameras are extensively employed in several industries, including
biometrics, intelligent surveillance, and health monitoring. The thermal cameras' exorbitant …

Two-step training deep learning framework for computational imaging without physics priors

R Shang, K Hoffer-Hawlik, F Wang, G Situ, GP Luke - Optics Express, 2021 - opg.optica.org
Deep learning (DL) is a powerful tool in computational imaging for many applications. A
common strategy is to use a preprocessor to reconstruct a preliminary image as the input to …

Mini-infrared thermal imaging system image denoising with multi-head feature fusion and detail enhancement network

H Wu, B Chen, Z Guo, C He, S Luo - Optics & Laser Technology, 2024 - Elsevier
The mini-infrared thermal imaging system (MITIS) has been widely applied in outdoor
photography, military observation, medical auxiliary diagnosis, and so on. However, due to …