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 10011050 of 1220 papers

TitleStatusHype
Multi-level Wavelet-CNN for Image RestorationCode0
Multi-Kernel Prediction Networks for Denoising of Burst ImagesCode0
First image then video: A two-stage network for spatiotemporal video denoisingCode0
Can learning from natural image denoising be used for seismic data interpolation?Code0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Modular proximal optimization for multidimensional total-variation regularizationCode0
FFDNet: Toward a Fast and Flexible Solution for CNN based Image DenoisingCode0
Restoring Snow-Degraded Single Images With Wavelet in Vision TransformerCode0
FEUNet: a flexible and effective U-shaped network for image denoisingCode0
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance NormalizationCode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Negligible effect of brain MRI data preprocessing for tumor segmentationCode0
Lightweight network towards real-time image denoising on mobile devicesCode0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
Feature-Based Image Clustering and Segmentation Using WaveletsCode0
A Comprehensive Comparison of Multi-Dimensional Image Denoising MethodsCode0
Structured Uncertainty Prediction NetworksCode0
Neural Nearest Neighbors NetworksCode0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
Medical image denoising using convolutional denoising autoencodersCode0
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel EnergiesCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Machine learning for faster and smarter fluorescence lifetime imaging microscopyCode0
NLH: A Blind Pixel-level Non-local Method for Real-world Image DenoisingCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
Blind Universal Bayesian Image Denoising with Gaussian Noise Level LearningCode0
NODE-ImgNet: a PDE-informed effective and robust model for image denoisingCode0
Natural Image Noise DatasetCode0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
LINN: Lifting Inspired Invertible Neural Network for Image DenoisingCode0
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep LearningCode0
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random FieldCode0
Fast and Effective L0 Gradient Minimization by Region FusionCode0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Learning to compress and search visual data in large-scale systemsCode0
Two-stage Progressive Residual Dense Attention Network for Image DenoisingCode0
Learning to Bound: A Generative Cramér-Rao BoundCode0
Robust and interpretable blind image denoising via bias-free convolutional neural networksCode0
Generative Adversarial Networks for Robust Cryo-EM Image DenoisingCode0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
Noise as Domain Shift: Denoising Medical Images by Unpaired Image TranslationCode0
Robust Deep Ensemble Method for Real-world Image DenoisingCode0
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and InpaintingCode0
Fast Algorithm for Constrained Linear Inverse ProblemsCode0
Noise Flow: Noise Modeling with Conditional Normalizing FlowsCode0
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder networkCode0
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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