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 43014310 of 7282 papers

TitleStatusHype
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models0
Online and Stable Learning of Analysis Operators0
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation0
Online Deep Learning based on Auto-Encoder0
Online Filtering over Expanding Graphs0
Online Joint Topology Identification and Signal Estimation from Streams with Missing Data0
Online Nonnegative Matrix Factorization with General Divergences0
Online Nonnegative Matrix Factorization with Outliers0
Online Regularization by Denoising with Applications to Phase Retrieval0
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders0
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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