Image denoising faces significant challenges, arising from the sources of noise. Specifically,
Gaussian, impulse, salt, pepper, and speckle noise are complicated sources of noise in …

Basic monitoring of the marine environment is crucial for the early warning and assessment
of marine hydrometeorological conditions, climate change, and ecosystem disasters. In …

The utilization of biometric authentication with pattern images is increasingly popular in
compact Internet of Things (IoT) devices. However, the reliability of such systems can be …

Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …

Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …

Although there has been a lot of progress in the general area of signal denoising, noise
removal remains a very challenging problem in real-world communication systems …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …

Recent years have seen a resurgence of interest in inexpensive low magnetic field (< 0.3 T)
MRI systems mainly due to advances in magnet, coil and gradient set designs. Most of these …

The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …