A novel gray image denoising method using convolutional neural network
Y Meng, J Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
In order to make the image denoising more effective in high noise level environment, we
propose a gray image denoising method using convolutional neural network (ConvNet). By …
propose a gray image denoising method using convolutional neural network (ConvNet). By …
An AtanTV nonconvex regularization model for MRI reconstruction
Z Luo, Z Zhu, B Zhang - Journal of Sensors, 2022 - Wiley Online Library
Recently, the nonconvex regularization model has attracted much research attention in
magnetic resonance imaging (MRI). In comparison with the traditional total variation (TV) …
magnetic resonance imaging (MRI). In comparison with the traditional total variation (TV) …
A non‐convex ternary variational decomposition and its application for image denoising
L Tang, L Wu, Z Fang, C Li - IET signal processing, 2022 - Wiley Online Library
A non‐convex ternary variational decomposition model is proposed in this study, which
decomposes the image into three components including structure, texture and noise. In the …
decomposes the image into three components including structure, texture and noise. In the …
[PDF][PDF] A Variational Model for Simultaneously Image Denoising and Luminance Adjustment
W Wang, R Liu - 2022 - global-sci.com
In this paper, we propose and develop a saturation value total variation (SVTV)
regularization model for simultaneously image denoising and luminance adjustment. The …
regularization model for simultaneously image denoising and luminance adjustment. The …