SOTAVerified

Image Denoising

Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.

( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )

Papers

Showing 851900 of 1220 papers

TitleStatusHype
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion0
SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition0
Noise as Domain Shift: Denoising Medical Images by Unpaired Image TranslationCode0
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Self-Guided Network for Fast Image DenoisingCode0
Isolating Latent Structure with Cross-population Variational Autoencoders0
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
Energy Dissipation with Plug-and-Play Priors0
Interpretable and robust blind image denoising with bias-free convolutional neural networks0
Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction0
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network0
Image denoising using deep CNN with batch renormalizationCode0
Variational Denoising Network: Toward Blind Noise Modeling and RemovalCode1
Noise Flow: Noise Modeling with Conditional Normalizing FlowsCode0
Index NetworkCode0
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors0
CameraNet: A Two-Stage Framework for Effective Camera ISP Learning0
Pyramid Real Image Denoising NetworkCode0
Feature Graph Learning for 3D Point Cloud Denoising0
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration0
Deep Graph-Convolutional Image DenoisingCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Feature-Based Image Clustering and Segmentation Using WaveletsCode0
Blind Universal Bayesian Image Denoising with Gaussian Noise Level LearningCode0
NLH: A Blind Pixel-level Non-local Method for Real-world Image DenoisingCode0
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted ImageCode1
Unsupervised Image Noise Modeling with Self-Consistent GAN0
Robust and interpretable blind image denoising via bias-free convolutional neural networksCode0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples0
Convolutional Bipartite Attractor Networks0
Learning Deep Image Priors for Blind Image Denoising0
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
Natural Image Noise DatasetCode0
Convolutional Neural Networks Can Be Deceived by Visual IllusionsCode0
FOCNet: A Fractional Optimal Control Network for Image DenoisingCode0
Spatially Variant Linear Representation Models for Joint Filtering0
Image Denoising with Graph-Convolutional Neural NetworksCode0
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise ModelingCode1
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy ImagesCode0
A Research and Strategy of Remote Sensing Image Denoising Algorithms0
Segmentation-Aware Image Denoising without Knowing True SegmentationCode0
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections0
Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
An approach to image denoising using manifold approximation without clean images0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CGNetPSNR (sRGB)40.39Unverified
2KBNetPSNR (sRGB)40.35Unverified
3NAFNetPSNR (sRGB)40.3Unverified
4SSAMANPSNR (sRGB)40.08Unverified
5PNGANPSNR (sRGB)40.07Unverified
6RestormerPSNR (sRGB)40.02Unverified
7HINetPSNR (sRGB)39.99Unverified
8MAXIM-3SPSNR (sRGB)39.96Unverified
9Uformer-BPSNR (sRGB)39.89Unverified
10SRMNetPSNR (sRGB)39.72Unverified
#ModelMetricClaimedVerifiedStatus
1DualDnPSNR (sRGB)40.59Unverified
2PNGANPSNR (sRGB)40.18Unverified
3SSAMANPSNR (sRGB)40.05Unverified
4RestormerPSNR (sRGB)40.03Unverified
5Uformer-BPSNR (sRGB)39.98Unverified
6NBNetPSNR (sRGB)39.89Unverified
7MIRNetPSNR (sRGB)39.88Unverified
8MAXIM-3SPSNR (sRGB)39.84Unverified
9MPRNetPSNR (sRGB)39.8Unverified
10SADNetPSNR (sRGB)39.59Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)44.95Unverified
2PMNPSNR (Raw)44.51Unverified
3SFRNPSNR (Raw)44.1Unverified
4LLDPSNR (Raw)43.84Unverified
5ELDPSNR (Raw)43.43Unverified
6LRDPSNR (Raw)43.32Unverified
7Paired Data(SID)PSNR (Raw)41.97Unverified
8StarlightPSNR (Raw)40.86Unverified
9ExposureDiffusion (UNet+ELD)PSNR (Raw)40.39Unverified
10Noise FlowPSNR (Raw)39.23Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)41.02Unverified
2PMNPSNR (Raw)40.92Unverified
3SFRNPSNR (Raw)40.22Unverified
4LLDPSNR (Raw)39.76Unverified
5Paired Data (SID)PSNR (Raw)39.6Unverified
6ELDPSNR (Raw)39.44Unverified
7LEDPSNR (Raw)39.34Unverified
8LRDPSNR (Raw)39.25Unverified
9StarlightPSNR (Raw)36.25Unverified
10Noise FlowPSNR (Raw)35.8Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)46.74Unverified
2PMNPSNR (Raw)46.5Unverified
3SFRNPSNR (Raw)46.02Unverified
4LLDPSNR (Raw)45.61Unverified
5ELDPSNR (Raw)45.45Unverified
6LRDPSNR (Raw)44.95Unverified
7Paired Data(SID)PSNR (Raw)44.47Unverified
8StarlightPSNR (Raw)43.8Unverified
9Noise FlowPSNR (Raw)41.05Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)43.36Unverified
2PMNPSNR (Raw)43.16Unverified
3SFRNPSNR (Raw)42.29Unverified
4LLDPSNR (Raw)42.1Unverified
5SID (paired real data)PSNR (Raw)42.06Unverified
6ELDPSNR (Raw)41.95Unverified
7StarlightPSNR (Raw)40.47Unverified
8Noise FlowPSNR (Raw)38.89Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)37.8Unverified
2PMNPSNR (Raw)37.77Unverified
3SFRNPSNR (Raw)36.87Unverified
4Paired Data(SID)PSNR (Raw)36.85Unverified
5LLDPSNR (Raw)36.76Unverified
6ELDPSNR (Raw)36.36Unverified
7StarlightPSNR (Raw)32.99Unverified
8Noise FlowPSNR (Raw)32.29Unverified
#ModelMetricClaimedVerifiedStatus
1PMNPSNR (Raw)43.16Unverified
2SFRNPSNR (Raw)42.29Unverified
3LEDPSNR (Raw)41.98Unverified
4ELDPSNR (Raw)41.95Unverified
5LRDPSNR (Raw)41.95Unverified
#ModelMetricClaimedVerifiedStatus
1AKDTAverage PSNR35.64Unverified
2MaIR+PSNR35.42Unverified
3MaIRPSNR35.35Unverified
4SCUNet SCUNetAverage PSNR35.18Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR30.41Unverified
2MaIRPSNR30.3Unverified
3SCUNet SCUNetPSNR30.14Unverified
4AKDTPSNR29.82Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR30.08Unverified
2MaIRPSNR28.66Unverified
#ModelMetricClaimedVerifiedStatus
1LEDPSNR (Raw)36.67Unverified
2LRDPSNR (Raw)36.03Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR33.3Unverified
2MaIRPSNR33.22Unverified
#ModelMetricClaimedVerifiedStatus
1R3LPSNR27.67Unverified
#ModelMetricClaimedVerifiedStatus
1BRGMLPIPS0.24Unverified
#ModelMetricClaimedVerifiedStatus
1BRGMLPIPS0.24Unverified
#ModelMetricClaimedVerifiedStatus
1ExposureDiffusion (UNet+paired data)PSNR (Raw)36.82Unverified
#ModelMetricClaimedVerifiedStatus
1PNGANPSNR40.78Unverified
#ModelMetricClaimedVerifiedStatus
1PNGANPSNR40.55Unverified
#ModelMetricClaimedVerifiedStatus
1absDLODRMSE0.07Unverified