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
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions—0
Denoising and compression in wavelet domain via projection onto approximation coefficients—0
Split LBI: An Iterative Regularization Path with Structural Sparsity—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Flexible Multi-layer Sparse Approximations of Matrices and Applications—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Fractional Calculus In Image Processing: A Review—0
Frequency Domain Loss Function for Deep Exposure Correction of Dark Images—0
Frequency-Weighted Robust Tensor Principal Component Analysis—0
From Noise Modeling to Blind Image Denoising—0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
From Simulated to Visual Data: A Robust Low-Rank Tensor Completion Approach using lp-Regression for Outlier Resistance—0
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data—0
Fully-Connected CRFs with Non-Parametric Pairwise Potential—0
A GAN-based Denoising Method for Chinese Stele and Rubbing Calligraphic Image—0
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation—0
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction—0
Functional Neural Networks for Parametric Image Restoration Problems—0
Deep Unfolding with Normalizing Flow Priors for Inverse Problems—0
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—0
Weighted Schatten p-Norm Minimization for Image Denoising with Local and Nonlocal Regularization—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
Statistical evaluation of visual quality metrics for image denoising—0
Gauss-Newton Unrolled Neural Networks and Data-driven Priors for Regularized PSSE with Robustness—0
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds—0
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference—0
Deep neural networks-based denoising models for CT imaging and their efficacy—0
A Faster Patch Ordering Method for Image Denoising—0
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling—0
Deeply Aggregated Alternating Minimization for Image Restoration—0
Generic 3D Convolutional Fusion for image restoration—0
GenesisTex: Adapting Image Denoising Diffusion to Texture Space—0
Deep Learning on Image Denoising: An overview—0
Good Similar Patches for Image Denoising—0
Gradient Domain Weighted Guided Image Filtering—0
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement—0
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain—0
Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising—0
Deep Learning for Image Denoising: A Survey—0
Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis—0
Group Sparse Coding for Image Denoising—0
Group Sparsity Residual Constraint for Image Denoising—0
Group Sparsity Residual with Non-Local Samples for Image Denoising—0
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning—0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization—0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration—0
Handling Noise in Single Image Deblurring Using Directional Filters—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
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