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

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Showing 4101–4110 of 7282 papers

TitleStatusHype
Graphs as Tools to Improve Deep Learning Methods—0
Graph Signal Restoration Using Nested Deep Algorithm Unrolling—0
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks—0
Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising—0
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising—0
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
Grayscale to Hyperspectral at Any Resolution Using a Phase-Only Lens—0
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction—0
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified