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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1811–1820 of 7282 papers

TitleStatusHype
Boosting of Image Denoising Algorithms—0
Boosting Image Restoration via Priors from Pre-trained Models—0
An approach to image denoising using manifold approximation without clean images—0
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion—0
BOOSTING ENCODER-DECODER CNN FOR INVERSE PROBLEMS—0
An Approach for Reducing Outliers of Non Local Means Image Denoising Filter—0
A Data-Driven Paradigm-Based Image Denoising and Mosaicking Approach for High-Resolution Acoustic Camera—0
DiffusionBlocks: Blockwise Training for Generative Models via Score-Based Diffusion—0
Diffusion Denoising for Low-Dose-CT Model—0
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis—0
Show:102550
← PrevPage 182 of 729Next →
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