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Image De-Noising With Machine Learning: A Review
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Image Denoising Using a Deep Encoder-Decoder Network with Skip Connections
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1007/s10044-020-00871-yopenalex-snapshot
Densely connected network for impulse noise removal
inferredcites →https://doi.org/10.1007/s10915-020-01203-2openalex-snapshot
Cauchy Noise Removal by Weighted Nuclear Norm Minimization
inferredcites →https://doi.org/10.1007/s11042-019-7556-xopenalex-snapshot
A generative adversarial network for image denoising
inferredcites →https://doi.org/10.1016/b978-0-12-804076-8.00006-2openalex-snapshot
Dictionary learning for medical image denoising, reconstruction, and segmentation
inferredcites →https://doi.org/10.1016/j.bspc.2019.101594openalex-snapshot
Image denoising using 2-D wavelet algorithm for Gaussian-corrupted confocal microscopy images
inferredcites →https://doi.org/10.1016/j.image.2018.06.016openalex-snapshot
Mixed Gaussian-impulse noise reduction from images using convolutional neural network
inferredcites →https://doi.org/10.1016/j.inffus.2019.09.003openalex-snapshot
Image denoising review: From classical to state-of-the-art approaches
inferredcites →https://doi.org/10.1016/j.jvcir.2015.10.011openalex-snapshot
The ANN based detector to remove random-valued impulse noise in images
inferredcites →https://doi.org/10.1016/j.jvcir.2019.05.005openalex-snapshot
Learning deep CNNs for impulse noise removal in images
inferredcites →https://doi.org/10.1016/j.neunet.2019.08.022openalex-snapshot
Image denoising using deep CNN with batch renormalization
inferredcites →https://doi.org/10.1016/j.neunet.2019.12.024openalex-snapshot
Attention-guided CNN for image denoising
inferredcites →https://doi.org/10.1016/j.neunet.2020.07.025openalex-snapshot
Deep learning on image denoising: An overview
inferredcites →https://doi.org/10.1016/j.patcog.2009.09.023openalex-snapshot
Two-stage image denoising by principal component analysis with local pixel grouping
inferredcites →https://doi.org/10.1016/j.sigpro.2013.03.005openalex-snapshot
Dictionary learning based impulse noise removal via L1–L1 minimization
inferredcites →https://doi.org/10.1016/j.sigpro.2018.12.006openalex-snapshot
A comprehensive survey on impulse and Gaussian denoising filters for digital images
inferredcites →https://doi.org/10.1049/iet-ipr.2017.0389openalex-snapshot
Image denoising method based on a deep convolution neural network
inferredcites →https://doi.org/10.1049/iet-ipr.2018.5776openalex-snapshot
High‐density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation
inferredcites →https://doi.org/10.1049/iet-ipr.2018.5941openalex-snapshot
Multi‐scale Cross‐path Concatenation Residual Network for Poisson denoising
inferredcites →https://doi.org/10.1049/iet-ipr.2019.0157openalex-snapshot
State‐of‐art analysis of image denoising methods using convolutional neural networks
inferredcites →https://doi.org/10.1049/iet-ipr.2019.0931openalex-snapshot
Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images
inferredcites →https://doi.org/10.1049/iet-ipr.2020.0717openalex-snapshot
PReLU and edge‐aware filter‐based image denoiser using convolutional neural network
inferredcites →https://doi.org/10.1049/iet-spr.2020.0104openalex-snapshot
Review of noise removal techniques in ECG signals
inferredcites →https://doi.org/10.1049/trit.2018.1054openalex-snapshot
Enhanced CNN for image denoising
inferredcites →https://doi.org/10.1080/17538947.2018.1447032openalex-snapshot
SAR image despeckling with a multilayer perceptron neural network
inferredcites →https://doi.org/10.1109/3477.990880openalex-snapshot
Histogram-based fuzzy filter for image restoration
inferredcites →https://doi.org/10.1109/access.2019.2921451openalex-snapshot
Multi-Level Wavelet Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/access.2019.2938799openalex-snapshot
A Blind CNN Denoising Model for Random-Valued Impulse Noise
inferredcites →https://doi.org/10.1109/access.2020.2991988openalex-snapshot
Image Denoising With Deep Convolutional Neural and Multi-Directional Long Short-Term Memory Networks Under Poisson Noise Environments
inferredcites →https://doi.org/10.1109/cvpr.2012.6247952openalex-snapshot
Image denoising: Can plain neural networks compete with BM3D?
inferredcites →https://doi.org/10.1109/cvpr.2014.349openalex-snapshot
Shrinkage Fields for Effective Image Restoration
inferredcites →https://doi.org/10.1109/cvpr.2014.366openalex-snapshot
Weighted Nuclear Norm Minimization with Application to Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2016.186openalex-snapshot
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2017.300openalex-snapshot
Learning Deep CNN Denoiser Prior for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr.2018.00333openalex-snapshot
Image Blind Denoising with Generative Adversarial Network Based Noise Modeling
inferredcites →https://doi.org/10.1109/cvpr.2018.00338openalex-snapshot
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising
inferredcites →https://doi.org/10.1109/cvprw.2017.152openalex-snapshot
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
inferredcites →https://doi.org/10.1109/cvprw.2019.00221openalex-snapshot
Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvprw.2019.00261openalex-snapshot
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-Based Real-World Noise Modeling
inferredcites →https://doi.org/10.1109/cvprw.2019.00262openalex-snapshot
Deep Iterative Down-Up CNN for Image Denoising
inferredcites →https://doi.org/10.1109/cvprw.2019.00263openalex-snapshot
Densely Connected Hierarchical Network for Image Denoising
inferredcites →https://doi.org/10.1109/icassp.2019.8683878openalex-snapshot
Blind Denoising of Mixed Gaussian-impulse Noise by Single CNN
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/icip.2007.4378954openalex-snapshot
Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space
inferredcites →https://doi.org/10.1109/icip.2008.4712115openalex-snapshot
Denoising of medical images corrupted by Poisson noise
inferredcites →https://doi.org/10.1109/icip.2019.8803367openalex-snapshot
Image Denoising with Graph-Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icis46139.2019.8940197openalex-snapshot
Image Denoising Based on Dictionary Learning of Mean Corrected Atoms
inferredcites →https://doi.org/10.1109/iemecon.2017.8079587openalex-snapshot
Denoising of image: A wavelet based approach
inferredcites →https://doi.org/10.1109/lsp.2017.2782270openalex-snapshot
Deep Shrinkage Convolutional Neural Network for Adaptive Noise Reduction
inferredcites →https://doi.org/10.1109/lsp.2018.2850222openalex-snapshot
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
inferredcites →https://doi.org/10.1109/msp.2017.2760358openalex-snapshot
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
inferredcites →https://doi.org/10.1109/ncc.2011.5734762openalex-snapshot
Removal of random-valued impulse noise using sparse representation
inferredcites →https://doi.org/10.1109/tip.2002.1014998openalex-snapshot
The curvelet transform for image denoising
inferredcites →https://doi.org/10.1109/tip.2003.818017openalex-snapshot
Modeling SAR Images With a Generalization of the Rayleigh Distribution
inferredcites →https://doi.org/10.1109/tip.2005.859376openalex-snapshot
The contourlet transform: an efficient directional multiresolution image representation
inferredcites →https://doi.org/10.1109/tip.2005.864179openalex-snapshot
A fuzzy impulse noise detection and reduction method
inferredcites →https://doi.org/10.1109/tip.2006.881969openalex-snapshot
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/tip.2009.2018575openalex-snapshot
Clustering-Based Denoising With Locally Learned Dictionaries
inferredcites →https://doi.org/10.1109/tip.2012.2210725openalex-snapshot
Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction
inferredcites →https://doi.org/10.1109/tip.2012.2227766openalex-snapshot
A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise
inferredcites →https://doi.org/10.1109/tip.2013.2277813openalex-snapshot
Nonlocal Hierarchical Dictionary Learning Using Wavelets for Image Denoising
inferredcites →https://doi.org/10.1109/tip.2014.2362057openalex-snapshot
Sparsity-Based Poisson Denoising With Dictionary Learning
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tip.2018.2819821openalex-snapshot
Denoising of Microscopy Images: A Review of the State-of-the-Art, and a New Sparsity-Based Method
inferredcites →https://doi.org/10.1109/tip.2018.2839891openalex-snapshot
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
inferredcites →https://doi.org/10.1109/tip.2018.2859044openalex-snapshot
Class-Aware Fully Convolutional Gaussian and Poisson Denoising
inferredcites →https://doi.org/10.1109/tip.2018.2871597openalex-snapshot
Fast Adaptive Bilateral Filtering
inferredcites →https://doi.org/10.1109/tip.2019.2940496openalex-snapshot
Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization
inferredcites →https://doi.org/10.1109/tip.2020.2976814openalex-snapshot
Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
inferredcites →https://doi.org/10.1109/tip.2020.2992895openalex-snapshot
Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise
inferredcites →https://doi.org/10.1109/tit.2005.860430openalex-snapshot
Stable recovery of sparse overcomplete representations in the presence of noise
inferredcites →https://doi.org/10.1109/tmi.2013.2255883openalex-snapshot
A Dictionary Learning Approach for Poisson Image Deblurring
inferredcites →https://doi.org/10.1109/tnb.2004.837907openalex-snapshot
A Multichannel Order-Statistic Technique for cDNA Microarray Image Processing
inferredcites →https://doi.org/10.1109/tpami.2016.2596743openalex-snapshot
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2018.2873610openalex-snapshot
Denoising Prior Driven Deep Neural Network for Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2019.2921548openalex-snapshot
Real-World Image Denoising with Deep Boosting
inferredcites →https://doi.org/10.1109/tpami.2020.2968521openalex-snapshot
Residual Dense Network for Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2021.3088914openalex-snapshot
Plug-and-Play Image Restoration With Deep Denoiser Prior
inferredcites →https://doi.org/10.1109/tsp.2006.881199openalex-snapshot
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
inferredcites →https://doi.org/10.1109/whispers.2012.6874280openalex-snapshot
Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery
inferredcites →https://doi.org/10.1155/2013/217021openalex-snapshot
Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review
inferredcites →https://doi.org/10.1186/s42492-019-0016-7openalex-snapshot
Brief review of image denoising techniques
inferredcites →https://doi.org/10.1371/journal.pone.0205390openalex-snapshot
PCANet based nonlocal means method for speckle noise removal in ultrasound images
inferredcites →https://doi.org/10.14569/ijacsa.2011.020309openalex-snapshot
Wavelet Based Image Denoising Technique
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.3390/a12010007openalex-snapshot
Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1701.01687openalex-snapshot
Deep Convolutional Denoising of Low-Light Images
inferredcites →https://doi.org/10.48550/arxiv.1804.02603openalex-snapshot
Real-world Noisy Image Denoising: A New Benchmark
inferredcites →https://doi.org/10.48550/arxiv.1905.02417openalex-snapshot
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
inferredcites →https://doi.org/10.6084/m9.figshare.1100359openalex-snapshot
A Survey of Fuzzy Based Image Denoising Techniques
inferredcites →https://doi.org/10.7567/jjap.54.07hc12openalex-snapshot
Noise reduction in ultrasonic computerized tomography by preprocessing for projection data
inferredcites →https://doi.org/10.9790/2834-09412736openalex-snapshot
A Survey of Fuzzy Based Image Denoising Techniques
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Image denoising with deep learning approach to obtain denoised clean image using convolution neural network(CNN) architecture
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Comparison of Activation Functions in Convolutional Neural Network for Poisson Noisy Image Classification
inferred← citeshttps://doi.org/10.31548/machinery/2.2024.33openalex-snapshot
Development of an algorithm for detecting commercial unmanned aerial vehicles using machine learning methods
inferred← citeshttps://doi.org/10.3169/mta.13.187openalex-snapshot
[Paper] Structured Deep Image Prior for Image Denoising with Interscale SURE-LET
inferred← citeshttps://doi.org/10.32604/cmc.2025.063726openalex-snapshot
Transformers for Multi-Modal Image Analysis in Healthcare
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Image Denoising Techniques Using Unsupervised Machine Learning and Deep Learning Algorithms: A Review
inferred← citeshttps://doi.org/10.33851/jmis.2023.10.1.1openalex-snapshot
Noise Removal Technique for Document Images
inferred← citeshttps://doi.org/10.3390/app15179407openalex-snapshot
Enhancing a Building Change Detection Model in Remote Sensing Imagery for Encroachments and Construction on Government Lands in Egypt as a Case Study
inferred← citeshttps://doi.org/10.3390/bioengineering13010075openalex-snapshot
Artificial Intelligence Meets Nail Diagnostics: Emerging Image-Based Sensing Platforms for Non-Invasive Disease Detection
inferred← citeshttps://doi.org/10.3390/electronics15030560openalex-snapshot
Physics-Informed Neural Network for Denoising Images Using Nonlinear PDE
inferred← citeshttps://doi.org/10.3390/mi17030315openalex-snapshot
Real-Time External Control Combined with Image Post-Processing for Mitigating SEM Vibration Distortion
inferred← citeshttps://doi.org/10.3390/s23052385openalex-snapshot
Vision Transformers in Image Restoration: A Survey
inferred← citeshttps://doi.org/10.3390/s25010087openalex-snapshot
Comparative Analysis of Edge Detection Operators Using a Threshold Estimation Approach on Medical Noisy Images with Different Complexities
inferred← citeshttps://doi.org/10.3844/jcssp.2024.670.681openalex-snapshot
Denoising of Underwater Images with Regulated Autoencoders
inferred← citeshttps://doi.org/10.3934/ipi.2026026openalex-snapshot
Color image denoising by deep CNN prior and saturation-value total variation
inferred← citeshttps://doi.org/10.4018/ijssci.328771openalex-snapshot
Artificial Intelligence in Tongue Image Recognition
inferred← citeshttps://doi.org/10.55041/ijsrem29940openalex-snapshot
Visual Intelligence: Machine Learning Approaches to Image Filtering and Identification
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DCNN-HBA: Honey Badger Optimization and Deep Convolutional Neural Network Based a Novel Hybrid Model for Producing Quality Image
inferred← citeshttps://doi.org/10.70675/f682bbdcz6975z43acza824zf6fc9ae90715openalex-snapshot
Deep learning for ocean satellite altimetry : specificities and practical implications
inferred← citeshttps://doi.org/10.7251/zrsng2101006mopenalex-snapshot
Impact of noise to edge detection on images of different complexity
inferred← citeshttps://doi.org/10.7498/aps.73.20240957openalex-snapshot
Application and prospect of machine learning in photoelectron spectroscopy
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