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

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Showing 1151–1200 of 1220 papers

TitleStatusHype
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMCode0
Self2Seg: Single-Image Self-Supervised Joint Segmentation and DenoisingCode0
Single Image Denoising via a New Lightweight Learning-Based ModelCode0
Single Stage Adaptive Multi-Attention Network for Image RestorationCode0
Product of Gaussian Mixture Diffusion ModelsCode0
Identity Enhanced Residual Image DenoisingCode0
Identifying Recurring Patterns with Deep Neural Networks for Natural Image DenoisingCode0
Hyperspectral Image Denoising via Spatial-Spectral Recurrent TransformerCode0
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural NetworksCode0
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural NetworkCode0
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning ApproachCode0
Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video EnhancementCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
SNRGAN: The Semi Noise Reduction GAN for Image DenoisingCode0
Pseudo-Siamese Blind-Spot Transformers for Self-Supervised Real-World DenoisingCode0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Stable and Interpretable Unrolled Dictionary LearningCode0
Hyperparameter selection for Discrete Mumford-ShahCode0
Deep Learning based Switching Filter for Impulsive Noise Removal in Color ImagesCode0
Pushing The Limits of the Wiener Filter in Image DenoisingCode0
Hyperparameter Optimization in Black-box Image Processing using Differentiable ProxiesCode0
Pyramid Real Image Denoising NetworkCode0
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired DataCode0
Unsupervised Image Restoration Using Partially Linear DenoisersCode0
Quadratic Autoencoder (Q-AE) for Low-dose CT DenoisingCode0
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approachCode0
Unsupervised Learning with Stein's Unbiased Risk EstimatorCode0
Cloud K-SVD for Image DenoisingCode0
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian SamplingCode0
Class-Aware Fully-Convolutional Gaussian and Poisson DenoisingCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoisingCode0
Linear Combinations of Patches are Unreasonably Effective for Single-Image DenoisingCode0
Hybrid Spatial-spectral Neural Network for Hyperspectral Image DenoisingCode0
Deep Graph-Convolutional Image DenoisingCode0
Generative Plug and Play: Posterior Sampling for Inverse ProblemsCode0
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image DenoisingCode0
Real Image Denoising with Feature AttentionCode0
Multi-scale Processing of Noisy Images using Edge Preservation LossesCode0
Realistic Noise Synthesis with Diffusion ModelsCode0
Generative Flows as a General Purpose Solution for Inverse ProblemsCode0
Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and DestripingCode0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Real-world Noisy Image Denoising: A New BenchmarkCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Deep Class Aware DenoisingCode0
Approximate Bayesian Computation with the Sliced-Wasserstein DistanceCode0
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data BoostrappingCode0
Training Deep Learning Based Denoisers without Ground Truth DataCode0
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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
10SRMNetPSNR (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