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 3071–3080 of 7282 papers

TitleStatusHype
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition—0
Denoising Linear Models with Permuted Data—0
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models—0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition—0
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network—0
Denoising Induction Motor Sounds Using an Autoencoder—0
Blind Denoising Autoencoder—0
Blind Deconvolution of Graph Signals: Robustness to Graph Perturbations—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