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 21412150 of 7282 papers

TitleStatusHype
Decomposition of Higher-Order Spectra for Blind Multiple-Input Deconvolution, Pattern Identification and SeparationCode0
Joint Visual Denoising and Classification using Deep LearningCode0
KADEL: Knowledge-Aware Denoising Learning for Commit Message GenerationCode0
AIM2PC: Aerial Image to 3D Building Point Cloud ReconstructionCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopyCode0
Decoding Phone Pairs from MEG Signals Across Speech ModalitiesCode0
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source SeparationCode0
Learning Priors in High-frequency Domain for Inverse Imaging ReconstructionCode0
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence AutoencoderCode0
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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