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

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Showing 2861–2870 of 7282 papers

TitleStatusHype
Coop-WD: Cooperative Perception with Weighting and Denoising for Robust V2V Communication—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Example-based super-resolution for point-cloud video—0
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation—0
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration—0
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution—0
ACT-Net: Anchor-context Action Detection in Surgery Videos—0
Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns—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