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 1001–1050 of 1220 papers

TitleStatusHype
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation—0
Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization—0
A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval—0
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation—0
SDDPM: Speckle Denoising Diffusion Probabilistic Models—0
Untrained Perceptual Loss for image denoising of line-like structures in MR images—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
Searching Efficient Model-guided Deep Network for Image Denoising—0
User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction—0
Analog Image Denoising with an Adaptive Memristive Crossbar Network—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network—0
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising—0
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network—0
Using Complex Wavelet Transform and Bilateral Filtering for Image Denoising—0
Self-supervised Bayesian Deep Learning for Image Denoising—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light-Field Microscopy—0
Enhancing convolutional neural network generalizability via low-rank weight approximation—0
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks—0
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer—0
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy—0
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs—0
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence—0
A comparison study of CNN denoisers on PRNU extraction—0
Self-Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning—0
A Comparative Study of Image Denoising Algorithms—0
Alternating minimization for a single step TV-Stokes model for image denoising—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised image denoising—0
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging—0
Self-Verification in Image Denoising—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
Separating Particulate Matter From a Single Microscopic Image—0
Separating Signal from Noise Using Patch Recurrence across Scales—0
Shallow camera pipeline for night photography rendering—0
Side Information in Robust Principal Component Analysis: Algorithms and Applications—0
Sigma Flows for Image and Data Labeling and Learning Structured Prediction—0
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising—0
Simultaneous Sparse Dictionary Learning and Pruning—0
All-optical image denoising using a diffractive visual processor—0
Single Cell Training on Architecture Search for Image Denoising—0
A lightweight convolutional neural network for image denoising with fine details preservation capability—0
Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy—0
Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Skip-Attention: Improving Vision Transformers by Paying Less Attention—0
Slice Sampling Particle Belief Propagation—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