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 …

AFA-Net: Adaptive Feature Attention Network in image deblurring and super-resolution for improving license plate recognition

D Kim, J Kim, E Park - Computer Vision and Image Understanding, 2024 - Elsevier
Although a number of license plate recognition (LPR) systems have become significantly
advanced, they are still far from producing ideal images. They are still fiddled with low …

Image-based porosity classification in Al-alloys by laser metal deposition using random forests

AI García-Moreno, JM Alvarado-Orozco… - … International Journal of …, 2020 - Springer
Additive manufacturing (AM) technologies enable complex, high-value components to be
printed, with potential applications in the automotive, aerospace, and biomedical sectors …

An integrated dictionary-learning entropy-based medical image fusion framework

G Qi, J Wang, Q Zhang, F Zeng, Z Zhu - Future Internet, 2017 - mdpi.com
Image fusion is widely used in different areas and can integrate complementary and relevant
information of source images captured by multiple sensors into a unitary synthetic image …

[HTML][HTML] Image deblurring to improve the grain monitoring in a rice combine harvester

F Rahimi-Ajdadi, K Mollazade - Smart Agricultural Technology, 2023 - Elsevier
One of the most important sources of grain losses happens during harvesting. A machine
vision system is capable to send online information of the grain condition to the adjustment …

[HTML][HTML] Source function from two-particle correlation through deblurring

P Nzabahimana, P Danielewicz - Physics Letters B, 2023 - Elsevier
In heavy-ion collisions, low relative-velocity two-particle correlations have been a tool for
assessing space-time characteristics of particle emission. Those characteristics may be cast …

Blur removal via blurred-noisy image pair

C Gu, X Lu, Y He, C Zhang - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Complex blur such as the mixup of space-variant and space-invariant blur, which is hard to
model mathematically, widely exists in real images. In this article, we propose a novel image …

Deblurring for nuclei: 3D characteristics of heavy-ion collisions

P Danielewicz, M Kurata-Nishimura - Physical Review C, 2022 - APS
Observables from nuclear and high-energy experiments can be degraded by detector
performance and/or methodology in extracting the observables, such as of the final-state …

A novel motion blur resistant vslam framework for micro/nano-uavs

B Şimşek, HŞ Bilge - Drones, 2021 - mdpi.com
Localization and map** technologies are of great importance for all varieties of
Unmanned Aerial Vehicles (UAVs) to perform their operations. In the near future, it is …

Performance analysis of wiener filter in restoration of COVID-19 chest X-ray images, ultrasound images and mammograms

MR Sneha, BR Manju - 2022 IEEE World Conference on …, 2022 - ieeexplore.ieee.org
Medical images such as X-Ray images, Mammograms and Ultrasound images are very
useful diagnostic techniques used for understanding the functions of different internal …