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 21112120 of 7282 papers

TitleStatusHype
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual NetworkCode0
Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel EstimationCode0
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
Learned Convolutional Sparse CodingCode0
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and CompressionCode0
Deep Class Aware DenoisingCode0
Massive Styles Transfer with Limited Labeled DataCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Deep Burst DenoisingCode0
Autoencoder-based prediction of ICU clinical codesCode0
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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