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 40514060 of 7282 papers

TitleStatusHype
Multi-Scale Weighted Nuclear Norm Image Restoration0
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction0
Multispectral image denoising with optimized vector non-local mean filter0
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization0
Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands0
Multistable Shape from Shading Emerges from Patch Diffusion0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography0
Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation0
Training a Task-Specific Image Reconstruction Loss0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI0
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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