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 14911500 of 7282 papers

TitleStatusHype
Patch Craft: Video Denoising by Deep Modeling and Patch MatchingCode1
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image DenoiserCode1
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color SpaceCode1
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse RepresentationsCode1
Time-Ordered Recent Event (TORE) Volumes for Event CamerasCode1
Unified Pre-training for Program Understanding and GenerationCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal FusionCode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
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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