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 42214230 of 7282 papers

TitleStatusHype
Nonsymbolic Text Representation0
Nonsymbolic Text Representation0
Non-Uniform Diffusion Models0
Non-Uniform Exposure Imaging via Neuromorphic Shutter Control0
A Correlative Denoising Autoencoder to Model Social Influence for Top-N Recommender System0
No-reference denoising of low-dose CT projections0
No-reference Image Denoising Quality Assessment0
Mobile Recognition of Wikipedia Featured Sites using Deep Learning and Crowd-sourced Imagery0
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration0
Weighted Mean and Median graph Filters with Attenuation Factor for Sensor Network0
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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