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 1961–1970 of 7282 papers

TitleStatusHype
Denoising Hamiltonian Network for Physical Reasoning—0
Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction—0
Denoising guarantees for optimized sampling schemes in compressed sensing—0
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising—0
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio—0
Addressing Negative Transfer in Diffusion Models—0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space—0
Analysing Diffusion Segmentation for Medical Images—0
Show:102550
← PrevPage 197 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