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
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised image denoising0
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging0
Self-Verification in Image Denoising0
Separating Particulate Matter From a Single Microscopic Image0
Separating Signal from Noise Using Patch Recurrence across Scales0
Shallow camera pipeline for night photography rendering0
Side Information in Robust Principal Component Analysis: Algorithms and Applications0
Sigma Flows for Image and Data Labeling and Learning Structured Prediction0
Simultaneous Sparse Dictionary Learning and Pruning0
Single Cell Training on Architecture Search for Image Denoising0
Skip-Attention: Improving Vision Transformers by Paying Less Attention0
Slice Sampling Particle Belief Propagation0
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising0
SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition0
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model0
Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images0
Sparse Models for Machine Learning0
Sparse Representation and Non-Negative Matrix Factorization for image denoise0
Sparse Signal Subspace Decomposition Based on Adaptive Over-complete Dictionary0
Spatial-Frequency Attention for Image Denoising0
Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising0
Spatially Variant Linear Representation Models for Joint Filtering0
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions0
Split LBI: An Iterative Regularization Path with Structural Sparsity0
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising0
Statistical evaluation of visual quality metrics for image denoising0
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference0
Stochastic Image Denoising by Sampling from the Posterior Distribution0
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser0
Structural Restricted Boltzmann Machine for image denoising and classification0
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction0
SUMD: Super U-shaped Matrix Decomposition Convolutional neural network for Image denoising0
SUNLayer: Stable denoising with generative networks0
Superkernel Neural Architecture Search for Image Denoising0
Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning0
Supervised Learning of Sparsity-Promoting Regularizers for Denoising0
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation0
Survey of Deep Learning Methods for Inverse Problems0
SVNR: Spatially-variant Noise Removal with Denoising Diffusion0
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions0
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting0
Synthesis versus analysis in patch-based image priors0
Taming Diffusion Models for Image Restoration: A Review0
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning0
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising0
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising0
Tell Me What You See: Text-Guided Real-World Image Denoising0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images0
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization0
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning0
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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
10MIRNetPSNR (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