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A Residual Dense U-Net Neural Network for Image Denoising

https://doi.org/10.1109/access.2021.3061062

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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DN-ResNet: Efficient Deep Residual Network for Image Denoising

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Convolutional Neural Networks for Image Denoising and Restoration

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Deep learning on image denoising: An overview

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Scope of validity of PSNR in image/video quality assessment

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Image Denoising With Deep Convolutional Neural and Multi-Directional Long Short-Term Memory Networks Under Poisson Noise Environments

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Multi-Wavelet Residual Dense Convolutional Neural Network for Image Denoising

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Fields of Experts: A Framework for Learning Image Priors

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A Non-Local Algorithm for Image Denoising

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Natural image denoising: Optimality and inherent bounds

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Image denoising: Can plain neural networks compete with BM3D?

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Weighted Nuclear Norm Minimization with Application to Image Denoising

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Seven Ways to Improve Example-Based Single Image Super Resolution

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Deep Residual Learning for Image Recognition

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Learning Deep CNN Denoiser Prior for Image Restoration

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Image Blind Denoising with Generative Adversarial Network Based Noise Modeling

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NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

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Multi-level Wavelet-CNN for Image Restoration

inferredcites →https://doi.org/10.1109/cvprw.2019.00262openalex-snapshot

Deep Iterative Down-Up CNN for Image Denoising

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Densely Connected Hierarchical Network for Image Denoising

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LIDIA: Lightweight Learned Image Denoising with Instance Adaptation

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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

inferredcites →https://doi.org/10.1109/iccv.2017.486openalex-snapshot

MemNet: A Persistent Memory Network for Image Restoration

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/ictai.2017.00192openalex-snapshot

Dilated Deep Residual Network for Image Denoising

inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot

Image quality assessment: from error visibility to structural similarity

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.2017.2662206openalex-snapshot

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

inferredcites →https://doi.org/10.1109/tip.2018.2812081openalex-snapshot

Adaptive Residual Networks for High-Quality Image Restoration

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/tpami.2020.2968521openalex-snapshot

Residual Dense Network for Image Restoration

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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Decoupled Weight Decay Regularization

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A lightweight convolutional neural network for image denoising with fine details preservation capability

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Overcoming Signal-to-Noise Ratio Limitations in Low Field NMR-Based Transformer Oil Diagnostics using Attention-enhanced Deep Denoising Network

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A Hybrid Approach for MRI Image Augmentation Using Residual Dense Block-Enhanced Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892471openalex-snapshot

Towards Robust Certified Defense via Improved Randomized Smoothing

inferred← citeshttps://doi.org/10.1109/ingarss67683.2025.11583848openalex-snapshot

Deep Learning for Hyperspectral Image Denoising

inferred← citeshttps://doi.org/10.1109/isbi53787.2023.10230786openalex-snapshot

Is Autoencoder Truly Applicable for 3d CT Super-Resolution?

inferred← citeshttps://doi.org/10.1109/iscas48785.2022.9937486openalex-snapshot

SUNet: Swin Transformer UNet for Image Denoising

inferred← citeshttps://doi.org/10.1109/itc-cscc55581.2022.9895050openalex-snapshot

Flat and Texture Region Segmentation in Image Denoising

inferred← citeshttps://doi.org/10.1109/itc-cscc66376.2025.11137609openalex-snapshot

Image Denoising Meets Quantization: Exploring the Effects of Post-Training Quantization

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3392532openalex-snapshot

A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity

inferred← citeshttps://doi.org/10.1109/lsens.2022.3150776openalex-snapshot

Generative Adversarial Networks for Noise Removal in Plain Carbon Steel Microstructure Images

inferred← citeshttps://doi.org/10.1109/melecon53508.2022.9843000openalex-snapshot

A Model to Improve the Quality of Low-dose CT Scan Images

inferred← citeshttps://doi.org/10.1109/nmitcon58196.2023.10275945openalex-snapshot

Speckle Noise Reduction in Satellite Images

inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104655openalex-snapshot

Redefining Channel Estimation in Underwater Acoustic OFDM Systems with Deep Neural Network

inferred← citeshttps://doi.org/10.1109/raics61201.2024.10689756openalex-snapshot

CUNet: A Customized U-Net Variant Exploiting Convolutional Shortcuts

inferred← citeshttps://doi.org/10.1109/sampta64769.2025.11133504openalex-snapshot

How to warm-start your unfolding network

inferred← citeshttps://doi.org/10.1109/smartiot62235.2024.00048openalex-snapshot

Anti-interference Pine Wilt Disease Detection Algorithm Based on Multilevel Residual Fusion in YOLOv8

inferred← citeshttps://doi.org/10.1109/snpd61259.2024.10673911openalex-snapshot

Image denoising based on Swin Transformer Residual Conv U-Net

inferred← citeshttps://doi.org/10.1109/tase.2026.3719872openalex-snapshot

vToP: VLM-Guided Transparent Object Perception for Robotic Manipulation

inferred← citeshttps://doi.org/10.1109/tbme.2022.3175670openalex-snapshot

Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning

inferred← citeshttps://doi.org/10.1109/tce.2025.3576162openalex-snapshot

Multimodal Heterogeneous Data Sensing and Communication Integration for CIoT

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3575717openalex-snapshot

Lifting Deep Image Denoisers to Video With Frame Interpolation Pre-Training

inferred← citeshttps://doi.org/10.1109/tencon55691.2022.9977603openalex-snapshot

LMENet: A lightweight multiscale efficient convolutional neural network for image denoising

inferred← citeshttps://doi.org/10.1109/tencon58879.2023.10322376openalex-snapshot

Mixed Noise Suppression Using UNET and its Variants

inferred← citeshttps://doi.org/10.1109/tim.2023.3259047openalex-snapshot

DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection

inferred← citeshttps://doi.org/10.1109/tsp.2024.3524568openalex-snapshot

Tensor Completion Network for Visual Data

inferred← citeshttps://doi.org/10.1109/tsp55681.2022.9851325openalex-snapshot

Seismic Signal Denoising using U-Net in the Time-Frequency Domain

inferred← citeshttps://doi.org/10.1111/coin.70063openalex-snapshot

CCNet: A Cross‐Channel Enhanced CNN for Blind Image Denoising

inferred← citeshttps://doi.org/10.1137/23m1545859openalex-snapshot

Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper

inferred← citeshttps://doi.org/10.1142/s146902682450007xopenalex-snapshot

Image Denoise Model Based on Structural Re-Parameterized Uniformer Transformer and UNet

inferred← citeshttps://doi.org/10.1145/3503161.3547767openalex-snapshot

ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer

inferred← citeshttps://doi.org/10.1145/3658664.3659645openalex-snapshot

Exploring Diffusion-Inspired Pixel Predictors for WS Steganalysis

inferred← citeshttps://doi.org/10.1145/3756863.3769710openalex-snapshot

ReTiDe: Real-Time Denoising for Energy-Efficient Motion Picture Processing with FPGAs

inferred← citeshttps://doi.org/10.1145/3774521.3774592openalex-snapshot

IDANet: Identity-Driven Attention Network for Unsupervised Synthetic Noise Removal

inferred← citeshttps://doi.org/10.1145/3784833.3784872openalex-snapshot

FHSA: Frequency-Guided Remote Sensing Image Denoising Based on Hybrid Sequence Attention

inferred← citeshttps://doi.org/10.1162/imag_a_00374openalex-snapshot

FONDUE: Robust resolution-invariant denoising of MR images using Nested UNets

inferred← citeshttps://doi.org/10.1177/15589250241313158openalex-snapshot

Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation

inferred← citeshttps://doi.org/10.1177/18724981241297464openalex-snapshot

Film image processing and production based on high-performance calculation

inferred← citeshttps://doi.org/10.1190/geo2024-0096.1openalex-snapshot

A method based on an attention-guided multibranch residual network for coupled noise suppression in distributed acoustic sensing data

inferred← citeshttps://doi.org/10.1364/boe.597323openalex-snapshot

Anatomy-guided weakly supervised learning framework for corneal nerve image denoising and enhancement

inferred← citeshttps://doi.org/10.1364/oe.483892openalex-snapshot

Laser diode photoacoustic point source detection: machine learning-based denoising and reconstruction

inferred← citeshttps://doi.org/10.1364/oe.504606openalex-snapshot

Physics-informed deep neural network for image denoising

inferred← citeshttps://doi.org/10.1364/oe.605038openalex-snapshot

Deep learning-based denoising and computational field-of-view extension towards rapid wide-field mid-infrared photothermal imaging

inferred← citeshttps://doi.org/10.1371/journal.pone.0318992openalex-snapshot

Untrained perceptual loss for image denoising of line-like structures in MR images

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150461openalex-snapshot

Optimizing Deep Learning for Efficient and Noise-Robust License Plate Detection and Recognition

inferred← citeshttps://doi.org/10.17946/jrst.2025.48.5.545openalex-snapshot

Low-Dose Abdominal CT Image Noise Reduction Using Residual-Based Median Adaptive Gaussian Filtering Algorithms: Performance Evaluation and Optimization

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2049014/v1openalex-snapshot

Physics-informed loss function for a deep neural network for Poissonian noise reduction

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2049014/v2openalex-snapshot

Physics-informed deep neural network for image denoising

inferred← citeshttps://doi.org/10.2139/ssrn.6172332openalex-snapshot

AFRIFNet: Adaptive Feature Residual Learning with Identity Flow for Image Denoising

inferred← citeshttps://doi.org/10.2139/ssrn.7149775openalex-snapshot

DCTDBN: Explicit Frequency Decoupling and Adaptive Spatial–Frequency Fusion for Image Denoising

inferred← citeshttps://doi.org/10.22630/mgv.2022.31.1.1openalex-snapshot

Attention-based U-Net for image demoiréing

inferred← citeshttps://doi.org/10.23919/eusipco55093.2022.9909521openalex-snapshot

Selective Residual M-Net for Real Image Denoising

inferred← citeshttps://doi.org/10.23919/irs54158.2022.9904993openalex-snapshot

Classifying LPI Radar Waveforms With Time-Frequency Transformations Using Multi-Stage CNN System

inferred← citeshttps://doi.org/10.23919/sicefes67750.2025.11236555openalex-snapshot

A Comparative Analysis of Conventional Loss Functions for Facial Image Denoising Using Attention U-Net

inferred← citeshttps://doi.org/10.3233/ida-240613openalex-snapshot

An enhanced network for brain MR image denoising

inferred← citeshttps://doi.org/10.3233/idt-240577openalex-snapshot

Film image processing and production based on high-performance calculation

inferred← citeshttps://doi.org/10.3233/jifs-234632openalex-snapshot

Application of non-local mean image denoising algorithm based on machine learning technology in visual communication design

inferred← citeshttps://doi.org/10.32604/cmes.2024.049737openalex-snapshot

Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection

inferred← citeshttps://doi.org/10.33022/ijcs.v13i1.3724openalex-snapshot

Image Denoising Techniques Using Unsupervised Machine Learning and Deep Learning Algorithms: A Review

inferred← citeshttps://doi.org/10.3389/fphy.2024.1334298openalex-snapshot

Neural network methods for radiation detectors and imaging

inferred← citeshttps://doi.org/10.3389/fspas.2022.1001043openalex-snapshot

Deep learning-based galaxy image deconvolution

inferred← citeshttps://doi.org/10.3390/app14167044openalex-snapshot

Multi-Scale Detail–Noise Complementary Learning for Image Denoising

inferred← citeshttps://doi.org/10.3390/computers12060112openalex-snapshot

Image Denoising by Deep Convolution Based on Sparse Representation

inferred← citeshttps://doi.org/10.3390/computers14010018openalex-snapshot

Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising

inferred← citeshttps://doi.org/10.3390/diagnostics13213326openalex-snapshot

Deep Learning-Based Denoising of CEST MR Data: A Feasibility Study on Applying Synthetic Phantoms in Medical Imaging

inferred← citeshttps://doi.org/10.3390/e25101418openalex-snapshot

FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising

inferred← citeshttps://doi.org/10.3390/electronics12092146openalex-snapshot

Using CNN with Multi-Level Information Fusion for Image Denoising

inferred← citeshttps://doi.org/10.3390/electronics12194183openalex-snapshot

Exploring Deep Learning for Adaptive Energy Detection Threshold Determination: A Multistage Approach

inferred← citeshttps://doi.org/10.3390/electronics12204346openalex-snapshot

A RAW Image Noise Suppression Method Based on BlockwiseUNet

inferred← citeshttps://doi.org/10.3390/electronics12245019openalex-snapshot

NGDCNet: Noise Gating Dynamic Convolutional Network for Image Denoising

inferred← citeshttps://doi.org/10.3390/electronics14132589openalex-snapshot

Discrete Wavelet Transform-Based Data Fusion with ResUNet Model for Liver Tumor Segmentation

inferred← citeshttps://doi.org/10.3390/electronics15030560openalex-snapshot

Physics-Informed Neural Network for Denoising Images Using Nonlinear PDE

inferred← citeshttps://doi.org/10.3390/jimaging11020051openalex-snapshot

A Highly Robust Encoder–Decoder Network with Multi-Scale Feature Enhancement and Attention Gate for the Reduction of Mixed Gaussian and Salt-and-Pepper Noise in Digital Images

inferred← citeshttps://doi.org/10.3390/math14010203openalex-snapshot

A Practical CNN–Transformer Hybrid Network for Real-World Image Denoising

inferred← citeshttps://doi.org/10.3390/s22187031openalex-snapshot

Image Recovery from Synthetic Noise Artifacts in CT Scans Using Modified U-Net

inferred← citeshttps://doi.org/10.3390/s23167044openalex-snapshot

A Residual UNet Denoising Network Based on Multi-Scale Feature Extraction and Attention-Guided Filter

inferred← citeshttps://doi.org/10.3390/s24113608openalex-snapshot

Multi-Branch Network for Color Image Denoising Using Dilated Convolution and Attention Mechanisms

inferred← citeshttps://doi.org/10.3390/s24134359openalex-snapshot

A Comprehensive Study of Object Tracking in Low-Light Environments

inferred← citeshttps://doi.org/10.3390/s25041105openalex-snapshot

Enhanced U-Net with Multi-Module Integration for High-Exposure-Difference Image Restoration

inferred← citeshttps://doi.org/10.3390/s25072047openalex-snapshot

Wavelet-Based Topological Loss for Low-Light Image Denoising

inferred← citeshttps://doi.org/10.3390/sym18030405openalex-snapshot

TCG-Depth: A Two-Stage Symmetric Confidence-Guided Framework for Transparent Object Depth Completion

inferred← citeshttps://doi.org/10.36548/jiip.2026.2.003openalex-snapshot

Depthwise Residual Transformer for Retinal Vascular Enhancement using Fundus Images

inferred← citeshttps://doi.org/10.37868/hsd.v3i2.71openalex-snapshot

Facial image denoising using AutoEncoder and UNET

showing the first 200 of 209

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