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 16911700 of 7282 papers

TitleStatusHype
Backpropagation-Friendly EigendecompositionCode1
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted ImageCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise ModelingCode1
Learning Deformable Kernels for Image and Video DenoisingCode1
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial NetworksCode1
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy imagesCode1
Noise2Self: Blind Denoising by Self-SupervisionCode1
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy ImagesCode1
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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