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 44614470 of 7282 papers

TitleStatusHype
PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation0
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors0
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space0
Unboxed: Geometrically and Temporally Consistent Video Outpainting0
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems0
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint0
Perceptually Optimized Generative Adversarial Network for Single Image Dehazing0
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks0
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective0
Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction0
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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