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 2491–2500 of 7282 papers

Title	Date	Tasks	Status	Score
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data	Jun 25, 2023	DenoisingDiversity	CodeCode Available	5
Holistic Guidance for Occluded Person Re-Identification	Apr 13, 2021	DenoisingOccluded Person Re-Identification	CodeCode Available	5
Domain-Adversarial Neural Networks	Dec 15, 2014	DenoisingDomain Adaptation	CodeCode Available	5
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models	May 23, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities	Jul 16, 2018	DenoisingInformation Retrieval	CodeCode Available	5
How Control Information Influences Multilingual Text Image Generation and Editing?	Jul 16, 2024	DecoderDenoising	CodeCode Available	5
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network	Oct 1, 2018	Denoising	CodeCode Available	5
An Underparametrized Deep Decoder Architecture for Graph Signals	Aug 2, 2019	ClusteringDecoder	CodeCode Available	5
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach	Dec 7, 2018	BIG-bench Machine LearningDenoising	CodeCode Available	5
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment	Oct 29, 2024	ClusteringDenoising	CodeCode Available	5

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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