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
Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing0
Image Denoising and the Generative Accumulation of PhotonsCode1
Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN)0
On the Importance of Denoising when Learning to Compress ImagesCode0
Exposing the Fake: Effective Diffusion-Generated Images Detection0
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models0
Geometric Neural Diffusion ProcessesCode1
Image Reconstruction using Enhanced Vision Transformer0
Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising0
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization0
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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