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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1220 papers

TitleStatusHype
Analysis Operator Learning and Its Application to Image Reconstruction—0
Learning Implicit Brain MRI Manifolds with Deep Learning—0
Dictionary Learning Based on Sparse Distribution Tomography—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Bitwise Operations of Cellular Automaton on Gray-scale Images—0
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising—0
Analog Image Denoising with an Adaptive Memristive Crossbar Network—0
Learning From Unpaired Data: A Variational Bayes Approach—0
De-speckling of Optical Coherence Tomography Images Using Anscombe Transform and a Noisier2noise Model—0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
Adaptive Image Denoising by Mixture Adaptation—0
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution—0
Learning Integrodifferential Models for Image Denoising—0
Learning Nonlinear Spectral Filters for Color Image Reconstruction—0
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising—0
Designing A Composite Dictionary Adaptively From Joint Examples—0
Depth image denoising using nuclear norm and learning graph model—0
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network—0
Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising—0
Dense residual Transformer for image denoising—0
Denoising via Repainting: an image denoising method using layer wise medical image repainting—0
Denoising single images by feature ensemble revisited—0
Benchmarking Denoising Algorithms with Real Photographs—0
Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising—0
Learning _1-based analysis and synthesis sparsity priors using bi-level optimization—0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
Denoising Designs-inherited Search Framework for Image Denoising—0
Denoising and compression in wavelet domain via projection onto approximation coefficients—0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie—0
A comparison study of CNN denoisers on PRNU extraction—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
Bayesian ensemble learning for image denoising—0
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation—0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising—0
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data—0
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation—0
Back to Basics: Fast Denoising Iterative Algorithm—0
Alternating minimization for a single step TV-Stokes model for image denoising—0
Inverse problems with second-order Total Generalized Variation constraints—0
Interpretable and robust blind image denoising with bias-free convolutional neural networks—0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs—0
Deep Unfolding with Normalizing Flow Priors for Inverse Problems—0
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products—0
Inference in Graphical Models via Semidefinite Programming Hierarchies—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
Autoregressive Score Matching—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