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 34513460 of 7282 papers

TitleStatusHype
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression0
GSNs : Generative Stochastic Networks0
Deep Learning with robustness to missing data: A novel approach to the detection of COVID-190
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors0
AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature0
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction0
Group Sparsity Residual with Non-Local Samples for Image Denoising0
Group Sparsity Residual Constraint for Image Denoising0
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization0
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization0
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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