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 4371–4380 of 7282 papers

TitleStatusHype
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties—0
Improved far-field speech recognition using Joint Variational Autoencoder—0
Improved functional MRI activation mapping in white matter through diffusion-adapted spatial filtering—0
A Dive into SAM Prior in Image Restoration—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising—0
Improved Self-Supervised Deep Image Denoising—0
Improved Sparse Low-Rank Matrix Estimation—0
Improved Stochastic Texture Filtering Through Sample Reuse—0
Improved Techniques for Adversarial Discriminative Domain Adaptation—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