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 3581–3590 of 7282 papers

TitleStatusHype
Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved—0
Autoregressive Moving Average Graph Filtering—0
A lightweight convolutional neural network for image denoising with fine details preservation capability—0
Graph Chirp Signal and Graph Fractional Vertex-Frequency Energy Distribution—0
Graph Based Sinogram Denoising for Tomographic Reconstructions—0
Imagine360: Immersive 360 Video Generation from Perspective Anchor—0
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation—0
Graph-Based Manifold Frequency Analysis for Denoising—0
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging—0
Deep Learning-Based Extended Target Tracking in ISAC Systems—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