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 551600 of 1220 papers

TitleStatusHype
Analysis Operator Learning and Its Application to Image Reconstruction0
Learning Implicit Brain MRI Manifolds with Deep Learning0
Dictionary Learning Based on Sparse Distribution Tomography0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks0
Bitwise Operations of Cellular Automaton on Gray-scale Images0
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising0
Analog Image Denoising with an Adaptive Memristive Crossbar Network0
Learning From Unpaired Data: A Variational Bayes Approach0
De-speckling of Optical Coherence Tomography Images Using Anscombe Transform and a Noisier2noise Model0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising0
A Multi-scale Video Denoising Algorithm for Raw Image0
Adaptive Image Denoising by Mixture Adaptation0
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution0
Learning Integrodifferential Models for Image Denoising0
Learning Nonlinear Spectral Filters for Color Image Reconstruction0
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising0
Designing A Composite Dictionary Adaptively From Joint Examples0
Depth image denoising using nuclear norm and learning graph model0
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network0
Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising0
Dense residual Transformer for image denoising0
Denoising via Repainting: an image denoising method using layer wise medical image repainting0
Denoising single images by feature ensemble revisited0
Benchmarking Denoising Algorithms with Real Photographs0
Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising0
Learning _1-based analysis and synthesis sparsity priors using bi-level optimization0
Bayesian Inference for Neighborhood Filters With Application in Denoising0
Denoising Designs-inherited Search Framework for Image Denoising0
Denoising and compression in wavelet domain via projection onto approximation coefficients0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie0
A comparison study of CNN denoisers on PRNU extraction0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning0
Del-Net: A Single-Stage Network for Mobile Camera ISP0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising0
Bayesian ensemble learning for image denoising0
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation0
Learning Enriched Features for Fast Image Restoration and Enhancement0
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising0
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data0
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation0
Back to Basics: Fast Denoising Iterative Algorithm0
Alternating minimization for a single step TV-Stokes model for image denoising0
Inverse problems with second-order Total Generalized Variation constraints0
Interpretable and robust blind image denoising with bias-free convolutional neural networks0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs0
Deep Unfolding with Normalizing Flow Priors for Inverse Problems0
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products0
Inference in Graphical Models via Semidefinite Programming Hierarchies0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors0
Autoregressive Score Matching0
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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