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 42414250 of 7282 papers

TitleStatusHype
Numerical Overcurrent Relay: A Digitizing Element Testing Automation and Simulation Based on Wavelet Transform0
Revealing Stable and Unstable Modes of Generic Denoisers through Nonlinear Eigenvalue Analysis0
NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification0
Weighted Nuclear Norm Minimization with Application to Image Denoising0
Object-centric 3D Motion Field for Robot Learning from Human Videos0
Object Detection based on OcSaFPN in Aerial Images with Noise0
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model0
Object Motion Guided Human Motion Synthesis0
Weighted-Sampling Audio Adversarial Example Attack0
Obtaining error-minimizing estimates and universal entry-wise error bounds for low-rank matrix completion0
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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