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 3681–3690 of 7282 papers

TitleStatusHype
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration—0
A Deep Generative Model for the Simulation of Discrete Karst Networks—0
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Toward Efficient Deep Blind RAW Image Restoration—0
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network—0
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
Adapting Language Models for Non-Parallel Author-Stylized Rewriting—0
List-Mode PET Image Reconstruction Using Dykstra-Like Splitting—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