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 1051–1100 of 1220 papers

TitleStatusHype
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
A Faster Patch Ordering Method for Image Denoising—0
A Dual Sparse Decomposition Method for Image Denoising—0
Boosting with Structural Sparsity: A Differential Inclusion Approach—0
Learning Deep CNN Denoiser Prior for Image RestorationCode0
Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising—0
On the Relation between Color Image Denoising and Classification—0
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition—0
Block-Matching Convolutional Neural Network for Image Denoising—0
Robust Kronecker-Decomposable Component Analysis for Low-Rank ModelingCode0
End-to-End Learning for Structured Prediction Energy Networks—0
Group Sparsity Residual Constraint for Image Denoising—0
Learning Non-local Image Diffusion for Image Denoising—0
CT Image Denoising with Perceptive Deep Neural Networks—0
Synthesis versus analysis in patch-based image priors—0
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation—0
Scene-adapted plug-and-play algorithm with convergence guarantees—0
Using Complex Wavelet Transform and Bilateral Filtering for Image Denoising—0
Side Information in Robust Principal Component Analysis: Algorithms and Applications—0
Deep Class Aware DenoisingCode0
Image denoising using group sparsity residual and external nonlocal self-similarity prior—0
Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising—0
Deeply Aggregated Alternating Minimization for Image Restoration—0
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal TractCode0
An Empirical Study of ADMM for Nonconvex Problems—0
Proximal Deep Structured Models—0
Split LBI: An Iterative Regularization Path with Structural Sparsity—0
Image Segmentation Using Overlapping Group Sparsity—0
Non-Local Color Image Denoising with Convolutional Neural Networks—0
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution—0
Can fully convolutional networks perform well for general image restoration problems?—0
The Little Engine that Could: Regularization by Denoising (RED)Code0
Point Cloud Denoising via Moving RPCA: MRPCA—0
Sparse Signal Subspace Decomposition Based on Adaptive Over-complete Dictionary—0
Multispectral image denoising with optimized vector non-local mean filter—0
Image Denoising via Multi-scale Nonlinear Diffusion Models—0
Image denoising via group sparsity residual constraint—0
Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising—0
Image Denoising Via Collaborative Support-Agnostic Recovery—0
Parameter Learning for Log-supermodular Distributions—0
Medical image denoising using convolutional denoising autoencodersCode0
A Comparative Study for the Nuclear Norms Minimization Methods—0
Fractional Calculus In Image Processing: A Review—0
Denoising and compression in wavelet domain via projection onto approximation coefficients—0
Online Nonnegative Matrix Factorization with General Divergences—0
Generic 3D Convolutional Fusion for image restoration—0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Accelerated first-order primal-dual proximal methods for linearly constrained composite convex programming—0
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets—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
10MIRNetPSNR (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