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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1220 papers

TitleStatusHype
Survey of Deep Learning Methods for Inverse Problems—0
Self-Verification in Image Denoising—0
Functional Neural Networks for Parametric Image Restoration Problems—0
As if by magic: self-supervised training of deep despeckling networks with MERLINCode1
Generative Flows as a General Purpose Solution for Inverse ProblemsCode0
Exploring Gradient Flow Based Saliency for DNN Model CompressionCode0
Dynamic Slimmable Denoising Network—0
Rethinking Noise Synthesis and Modeling in Raw DenoisingCode1
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration—0
Learning From Unpaired Data: A Variational Bayes Approach—0
Automated Channel Pruning with Learned Importance—0
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised image denoising—0
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning—0
Towards Flexible Blind JPEG Artifacts RemovalCode1
Hyperparameter selection for Discrete Mumford-ShahCode0
Learning-based Noise Component Map Estimation for Image Denoising—0
From Simulated to Visual Data: A Robust Low-Rank Tensor Completion Approach using lp-Regression for Outlier Resistance—0
Eformer: Edge Enhancement based Transformer for Medical Image Denoising—0
WINNet: Wavelet-inspired Invertible Network for Image DenoisingCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval—0
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance—0
Image Denoising Inspired by Quantum Many-Body physics—0
Noise2Fast: Fast Self-Supervised Single Image Blind DenoisingCode1
SwinIR: Image Restoration Using Swin TransformerCode3
spectrai: A deep learning framework for spectral dataCode1
Physics-based Noise Modeling for Extreme Low-light PhotographyCode1
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
DCT2net: an interpretable shallow CNN for image denoisingCode1
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement—0
Adaptive Denoising via GainTuning—0
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS—0
Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices—0
Meta-Optimization of Deep CNN for Image Denoising Using LSTM—0
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery—0
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising—0
Collaborative Filtering-Based Method for Low-Resolution and Details Preserving Image Denoising—0
Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising—0
Deep Unfolding with Normalizing Flow Priors for Inverse Problems—0
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising—0
Deformed2Self: Self-Supervised Denoising for Dynamic Medical ImagingCode1
Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model—0
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation PriorsCode1
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image DenoisingCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Pseudo 3D Auto-Correlation Network for Real Image Denoising—0
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Adaptive Consistency Prior Based Deep Network for Image DenoisingCode1
Controllable Confidence-Based Image Denoising—0
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All datasetsSIDDDNDELD SonyA7S2 x200SID SonyA7S2 x250ELD SonyA7S2 x100SID x100SID x300SID SonyA7S2 x100urban100 sigma15Urban100 sigma50BSD68 sigma50SID SonyA7S2 x300

Benchmark Results

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