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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6351–6375 of 7282 papers

TitleStatusHype
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio—0
Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space—0
Detection of blue whale vocalisations using a temporal-domain convolutional neural network—0
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising—0
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking—0
DEVDAN: Deep Evolving Denoising Autoencoder—0
Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms—0
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements—0
DexDiffuser: Generating Dexterous Grasps with Diffusion Models—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids—0
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation—0
Diagnosing and Preventing Instabilities in Recurrent Video Processing—0
Diagnostic Quality Assessment for Low-Dimensional ECG Representations—0
Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos—0
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS—0
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction—0
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis—0
Dictionary Learning Based on Sparse Distribution Tomography—0
Dictionary Learning Under Generative Coefficient Priors with Applications to Compression—0
Dictionary Learning with Equiprobable Matching Pursuit—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified