Scanning electron microscope (SEM) enables imaging of micro-nano scale objects. It is an
analytical tool widely used in the material, earth and life sciences. However, SEM images …

Image denoising is a fundamental task in image processing and computer vision, aiming to
remove noise and enhance the visual quality of images. In recent years, deep learning …

Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural
networks (CNNs) provide the current state of the art in denoising photographic images …

Image denoising is a critical task in computer vision aimed at removing unwanted noise from
images, which can degrade image quality and affect visual details. This study proposes a …

Recent advancements in deep learning have notably advanced the field of image denoising.
Yet, blindly increasing the depth or width of convolutional neural networks (CNNs) cannot …

In this paper, we propose an edge-focused image denoising convolutional neural network
for the restoration of noisy images corrupted with additive white Gaussian noise (AWGN) …

The advancement of imaging devices and countless images generated everyday pose an
increasingly high demand on image denoising, which still remains a challenging task in …

In recent years, deep convolutional neural network (DCNN) has achieved impressive
performance in image denoising. However, the existing CNN-based methods cannot work …

Owing to the flexible architectures of deep convolutional neural networks (CNNs) are
successfully used for image denoising. However, they suffer from the following drawbacks:(i) …

Deep convolution neural networks (CNNs) have become popular for image denoising due to
their robust learning capabilities. However, many methods tend to increase the receptive …