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 45714580 of 7282 papers

TitleStatusHype
Joint Optical Neuroimaging Denoising with Semantic Tasks0
Joint Prediction and Denoising for Large-scale Multilingual Self-supervised Learning0
Joint Reconstruction and Calibration using Regularization by Denoising0
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks0
Joint Time-Vertex Fractional Fourier Transform0
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning0
Three-dimensional spike localization and improved motion correction for Neuropixels recordings0
JPEG Information Regularized Deep Image Prior for Denoising0
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing0
Three-quarter Sibling Regression for Denoising Observational Data0
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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