Deep learning-based thermal image reconstruction and object detection
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 …
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 …
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
Additive manufacturing (AM) technologies enable complex, high-value components to be
printed, with potential applications in the automotive, aerospace, and biomedical sectors …
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 …
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
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 …
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
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 …
assessing space-time characteristics of particle emission. Those characteristics may be cast …
Blur removal via blurred-noisy image pair
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 …
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 …
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 …
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 …
useful diagnostic techniques used for understanding the functions of different internal …