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

Showing 28512860 of 7282 papers

TitleStatusHype
Fast Multi-Layer Laplacian Enhancement0
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation0
Fast, nonlocal and neural: a lightweight high quality solution to image denoising0
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths0
Cooperative Denoising for Distantly Supervised Relation Extraction0
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation0
Fast Separable Non-Local Means0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit0
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified