SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2851–2875 of 7282 papers

TitleStatusHype
Fast Multi-Layer Laplacian Enhancement—0
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation—0
Fast, nonlocal and neural: a lightweight high quality solution to image denoising—0
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths—0
Coop-WD: Cooperative Perception with Weighting and Denoising for Robust V2V Communication—0
Example-based super-resolution for point-cloud video—0
Fast Separable Non-Local Means—0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation—0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit—0
Fast Sub-millimeter Diffusion MRI using gSlider-SMS and SNR-Enhancing Joint Reconstruction—0
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Fast, Trainable, Multiscale Denoising—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration—0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation—0
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models—0
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution—0
ACT-Net: Anchor-context Action Detection in Surgery Videos—0
Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement—0
Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns—0
Exact Sparse Orthogonal Dictionary Learning—0
Cooling-Guide Diffusion Model for Battery Cell Arrangement—0
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network—0
EWT: Efficient Wavelet-Transformer for Single Image Denoising—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified