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 50315040 of 7282 papers

TitleStatusHype
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling0
Towards stationary time-vertex signal processing0
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing0
MMSE Estimation for Poisson Noise Removal in Images0
Adaptive noise imitation for image denoising0
Mobile Video Diffusion0
Global Adaptive Filtering Layer for Computer Vision0
Towards the Automation of Deep Image Prior0
Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders0
Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI0
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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