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 18711880 of 7282 papers

TitleStatusHype
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging ProblemsCode0
LMD: Faster Image Reconstruction with Latent Masking DiffusionCode0
Localized Fourier Analysis for Graph Signal ProcessingCode0
Denoising-based Contractive Imitation LearningCode0
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseCode0
LLNet: A Deep Autoencoder Approach to Natural Low-light Image EnhancementCode0
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder networkCode0
Modular proximal optimization for multidimensional total-variation regularizationCode0
Denoising autoencoder with modulated lateral connections learns invariant representations of natural imagesCode0
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch RepresentationCode0
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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