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 276300 of 1220 papers

TitleStatusHype
Unprocessing Images for Learned Raw DenoisingCode1
Noise2Void - Learning Denoising from Single Noisy ImagesCode1
Fully Convolutional Pixel Adaptive Image DenoiserCode1
Toward Convolutional Blind Denoising of Real PhotographsCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Learning to See in the DarkCode1
Deep Image PriorCode1
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual LossCode1
Recurrent Inference Machines for Solving Inverse ProblemsCode1
On-Demand Learning for Deep Image RestorationCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
Learning Multi-scale Spatial-frequency Features for Image Denoising0
A Real-time Endoscopic Image Denoising System0
Revisiting Transformers with Insights from Image Filtering0
Pseudo-Siamese Blind-Spot Transformers for Self-Supervised Real-World DenoisingCode0
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement0
Unrolling Nonconvex Graph Total Variation for Image Denoising0
STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image DenoisingCode0
Image denoising as a conditional expectation0
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse ProblemsCode0
Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoisingCode0
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing0
Self-Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning0
ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network0
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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