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 42914300 of 7282 papers

TitleStatusHype
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images0
Learning Sparse Latent Representations for Generator Model0
Weak-signal extraction enabled by deep-neural-network denoising of diffraction dataCode1
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude EstimationCode0
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data0
MetaDIP: Accelerating Deep Image Prior with Meta Learning0
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Denoising Diffusion Error Correction Codes0
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising0
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
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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