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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 2941–2950 of 7282 papers

Title	Date	Tasks	Status	Hype
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution	Oct 25, 2023	DenoisingLanguage Modeling	CodeCode Available	2
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection	Oct 25, 2023	3D Object DetectionDenoising	—Unverified	0
Fine tuning Pre trained Models for Robustness Under Noisy Labels	Oct 24, 2023	DenoisingLearning with noisy labels	—Unverified	0
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models	Oct 24, 2023	Dataset GenerationDenoising	—Unverified	0
DALE: Generative Data Augmentation for Low-Resource Legal NLP	Oct 24, 2023	Data AugmentationDecoder	CodeCode Available	1
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy	Oct 24, 2023	DenoisingHallucination	—Unverified	0
Complex Image Generation SwinTransformer Network for Audio Denoising	Oct 24, 2023	Audio DenoisingDenoising	CodeCode Available	0
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior	Oct 24, 2023	DenoisingImputation	—Unverified	0
DeepOrientation: convolutional neural network for fringe pattern orientation map estimation	Oct 23, 2023	DenoisingPeriod Estimation	CodeCode Available	0
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models	Oct 23, 2023	De-identificationDenoising	CodeCode Available	1

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All datasets Darmstadt Noise Dataset DIV2K DND iris

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SINDy	PSNR	81	—	Unverified
2	Pixel-shuffling Downsampling	PSNR	38.4	—	Unverified
3	TWSC	PSNR	37.93	—	Unverified
4	CBDNet(Syn)	PSNR	37.57	—	Unverified
5	MCWNNM	PSNR	37.38	—	Unverified
6	Han et al	PSNR	35.95	—	Unverified
7	FFDNet	PSNR	34.4	—	Unverified
8	TNRD	PSNR	33.65	—	Unverified
9	CDnCNN-B	PSNR	32.43	—	Unverified
10	NLRN	PSNR	30.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRUnet_Poisson_0.01	Average PSNR (dB)	33.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRANet	Average PSNR	39.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PCNN+RL+HME	Average	84.61	—	Unverified