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 38313840 of 7282 papers

TitleStatusHype
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora0
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications0
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model0
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI0
MedGAN: Medical Image Translation using GANs0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs0
Recent Progress in Transformer-based Medical Image Analysis0
Medical Image Denosing via Explainable AI Feature Preserving Loss0
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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