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 33113320 of 7282 papers

TitleStatusHype
Enhancing Recommendation with Denoising Auxiliary Task0
Enhancing Real-World Active Speaker Detection with Multi-Modal Extraction Pre-Training0
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction0
Hair and Scalp Disease Detection using Machine Learning and Image Processing0
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm0
HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning0
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery0
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery0
A salt and pepper noise image denoising method based on the generative classification0
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning0
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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