Super-resolution of magnetic resonance images using Generative Adversarial Networks

J Guerreiro, P Tomás, N Garcia, H Aidos - Computerized Medical Imaging …, 2023 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) typically comes at the cost of small spatial
coverage, high expenses and long scan times. Accelerating MRI acquisition by taking less …

A review of spatial enhancement of hyperspectral remote sensing imaging techniques

N Aburaed, MQ Alkhatib, S Marshall… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Remote sensing technology has undeniable importance in various industrial applications,
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …

License plate image analysis empowered by generative adversarial neural networks (GANs)

H Ibrahim, OM Fahmy, MA Elattar - IEEE Access, 2022 - ieeexplore.ieee.org
Although the majority of existing License Plate (LP) recognition techniques have significant
improvements in accuracy, they are still limited to ideal situations in which training data is …

Deep learning in computed tomography super resolution using multi‐modality data training

WYR Fok, A Fieselmann, M Herbst, L Ritschl… - Medical …, 2024 - Wiley Online Library
Background One of the limitations in leveraging the potential of artificial intelligence in X‐ray
imaging is the limited availability of annotated training data. As X‐ray and CT shares similar …

[HTML][HTML] Metrological Evaluation of the Demosaicking Effect on Colour Digital Image Correlation with Application in Monitoring of Paintings

A Papanikolaou, P Garbat, M Kujawinska - Sensors, 2022 - mdpi.com
A modified 3D colour digital image correlation method (3D cDIC) is proposed for efficient
displacement measurements of colour objects with natural texture. The method is using a …

[PDF][PDF] Content adaptive single image interpolation based Super Resolution of compressed images

A Singh, J Singh - International Journal of Electrical and Computer …, 2020 - core.ac.uk
Image Super resolution is used to upscale the low resolution Images. It is also known as
image upscaling. This paper focuses on upscaling of compressed images with interpolation …

Superresolution Reconstruction in Automatic Thai Sign Language Feature Extraction Using Adaptive Triangulation Interpolation.

E Gedkhaw, M Ketcham - International Journal of Online & …, 2022 - search.ebscohost.com
Superresolution is an image processing technique for improving image quality and
enhancing low-resolution images. This paper presents a novel interpolation method for …

Colour digital image correlation method for monitoring of cultural heritage objects with natural texture

A Papanikolaou, P Garbat… - Optics for Arts …, 2021 - spiedigitallibrary.org
Digital image correlation (DIC) is a well-established technique for the measurement and
monitoring of displacements and strains in engineering objects. In technical applications, an …

A Super-Resolution Image Reconstruction using Triangulation Interpolation in Feature Extraction for automatic sign language recognition

E Gedkhaw, M Ketcham - 2019 Research, Invention, and …, 2019 - ieeexplore.ieee.org
This paper presents the performance of the super-resolution visualization by Triangular
Interpolation algorithm to extract characteristic in sign language recognition. By compares …

Super resolution of car plate images using generative adversarial networks

TK Lai, AF Abbas, AM Abdu, UU Sheikh… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Car plate recognition is used in traffic monitoring and control systems such as intelligent
parking lot management, finding stolen vehicles, and automated highway toll. In practice …