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

Showing 24812490 of 7282 papers

TitleStatusHype
A unified framework of non-local parametric methods for image denoising0
Deconstructing the Ladder Network Architecture0
A Unified Framework for Multi-Sensor HDR Video Reconstruction0
Deconstructing Principal Component Analysis Using a Data Reconciliation Perspective0
A Unified Conditional Framework for Diffusion-based Image Restoration0
Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture0
Explorative Inbetweening of Time and Space0
DeCompress: Denoising via Neural Compression0
A Unified Approach to Analysis and Design of Denoising Markov Models0
Nonlocal Patches based Gaussian Mixture Model for Image Inpainting0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified