Speckle suppression based on weighted nuclear norm minimization and grey theory
S Liu, Q Hu, P Li, J Zhao, M Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Coherent imaging systems are greatly affected by speckle noise, which makes visual
analysis and features extraction a difficult task. In this paper, we propose a speckle …
analysis and features extraction a difficult task. In this paper, we propose a speckle …
A multi-scale feature extraction-based normalized attention neural network for image denoising
Y Wang, X Song, G Gong, N Li - Electronics, 2021 - mdpi.com
Due to the rapid development of deep learning and artificial intelligence techniques,
denoising via neural networks has drawn great attention due to their flexibility and excellent …
denoising via neural networks has drawn great attention due to their flexibility and excellent …
A multiple image-based noise level estimation algorithm
S Xu, X Zeng, Y Jiang, Y Tang - IEEE Signal Processing Letters, 2017 - ieeexplore.ieee.org
In this letter, a novel multiple image-based Gaussian noise level estimation (NLE) algorithm
for natural images by jointly exploiting the noise level-aware feature extraction and the local …
for natural images by jointly exploiting the noise level-aware feature extraction and the local …
Gaussian noise parameter estimation based on multiple singular value decomposition and non‐linear fitting
J Qi, L Sun, K Li, L Wang - IET Image Processing, 2022 - Wiley Online Library
Noise standard deviation (STD) is an important parameter in many digital image processing
applications. This paper presents a Gaussian noise parameter estimation algorithm using …
applications. This paper presents a Gaussian noise parameter estimation algorithm using …
Noise level estimation for digital images using local statistics and its applications to noise removal
In this paper, an automatic estimation of additive white Gaussian noise technique is
proposed. This technique is built according to the local statistics of Gaussian noise. In the …
proposed. This technique is built according to the local statistics of Gaussian noise. In the …
Image noise level estimation for rice noise based on extended ELM neural network training algorithm
X Yang, K Xu, S Xu, PX Liu - Ieee Access, 2018 - ieeexplore.ieee.org
The estimation of image noise level is a critical task for image denoising or super-resolution
reconstruction. Mathematical methods like patch-based or model-based methods, suffer …
reconstruction. Mathematical methods like patch-based or model-based methods, suffer …
A Multi-Scale Feature Extraction-Based Normalized Attention Neural Network for Image Denoising. Electronics 2021, 10, 319
Y Wang, X Song, G Gong, N Li - 2021 - search.proquest.com
Due to the rapid development of deep learning and artificial intelligence techniques,
denoising via neural networks has drawn great attention due to their flexibility and excellent …
denoising via neural networks has drawn great attention due to their flexibility and excellent …