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 4151–4160 of 7282 papers

TitleStatusHype
HDR Imaging with Spatially Varying Signal-to-Noise Ratios—0
HDRVideo-GAN: Deep Generative HDR Video Reconstruction—0
Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models—0
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN—0
Heart Rate Extraction from Abdominal Audio Signals—0
Heavy-Tailed Diffusion Models—0
HE-Drive: Human-Like End-to-End Driving with Vision Language Models—0
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance—0
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models—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