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 2241–2250 of 7282 papers

TitleStatusHype
Deep Stacked Networks with Residual Polishing for Image Inpainting—0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie—0
A Low-Cost & Real-Time Motion Capture System—0
Bayesian Formulations for Graph Spectral Denoising—0
Deep Speech Denoising with Vector Space Projections—0
Deep Spectral Prior—0
Bayesian ensemble learning for image denoising—0
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms—0
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds—0
Bayesian ECG reconstruction using denoising diffusion generative models—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