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 3061–3070 of 7282 papers

TitleStatusHype
Estimating Post-OCR Denoising Complexity on Numerical Texts—0
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—0
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection—0
Estimating LASSO Risk and Noise Level—0
A CT Image Denoising Method Based on Projection Domain Feature—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising—0
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization—0
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space—0
GSNs : Generative Stochastic Networks—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