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

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Showing 301–350 of 1220 papers

TitleStatusHype
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)Code0
Nonlocality-Reinforced Convolutional Neural Networks for Image DenoisingCode0
Convolutional Dictionary Learning: Acceleration and ConvergenceCode0
Non-linear aggregation of filters to improve image denoisingCode0
Non-Local Recurrent Network for Image RestorationCode0
Convolutional Deblurring for Natural ImagingCode0
Noise Robust Generative Adversarial NetworksCode0
NoiseTransfer: Image Noise Generation with Contrastive EmbeddingsCode0
Noisier2Noise: Learning to Denoise from Unpaired Noisy DataCode0
Non-Local Video Denoising by CNNCode0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
Noise as Domain Shift: Denoising Medical Images by Unpaired Image TranslationCode0
NODE-ImgNet: a PDE-informed effective and robust model for image denoisingCode0
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
Considering Image Information and Self-similarity: A Compositional Denoising NetworkCode0
Noise Flow: Noise Modeling with Conditional Normalizing FlowsCode0
No-Reference Image Quality Assessment in the Spatial DomainCode0
Negligible effect of brain MRI data preprocessing for tumor segmentationCode0
Connecting Image Denoising and High-Level Vision Tasks via Deep LearningCode0
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse ProblemsCode0
Approximate Bayesian Computation with the Sliced-Wasserstein DistanceCode0
Neural Nearest Neighbors NetworksCode0
A Plug-and-Play Priors Framework for Hyperspectral UnmixingCode0
Natural Image Noise DatasetCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Multi-Kernel Prediction Networks for Denoising of Burst ImagesCode0
A Novel Truncated Norm Regularization Method for Multi-channel Color Image DenoisingCode0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Multiscale Sparsifying Transform Learning for Image DenoisingCode0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
Model-Based Image Signal Processors via Learnable DictionariesCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Modular proximal optimization for multidimensional total-variation regularizationCode0
Medical image denoising using convolutional denoising autoencodersCode0
Cloud K-SVD for Image DenoisingCode0
Lightweight network towards real-time image denoising on mobile devicesCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocksCode0
Anomaly Detection and Prototype Selection Using Polyhedron CurvatureCode0
Class-Aware Fully-Convolutional Gaussian and Poisson DenoisingCode0
Machine learning for faster and smarter fluorescence lifetime imaging microscopyCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
A Brief Review of Real-World Color Image DenoisingCode0
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image DenoisingCode0
NLH: A Blind Pixel-level Non-local Method for Real-world Image DenoisingCode0
Learning to compress and search visual data in large-scale systemsCode0
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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