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 48514860 of 7282 papers

TitleStatusHype
Low-Dose CT Image Denoising Using Parallel-Clone Networks0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers0
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 Speedup0
Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning0
Low Latency Video Denoising for Online Conferencing Using CNN Architectures0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation0
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond0
Low power communication signal enhancement method of Internet of things based on nonlocal mean denoising0
Low-rank matrix completion and denoising under Poisson noise0
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising0
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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