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 2511–2520 of 7282 papers

Title	Date	Tasks	Status	Score
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?	Jul 26, 2023	Denoising	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
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNN	Dec 8, 2020	Color Image DenoisingDemosaicking	CodeCode Available	5
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model	May 19, 2025	DecoderDenoising	CodeCode Available	5
High-dimensional Assisted Generative Model for Color Image Restoration	Aug 14, 2021	DemosaickingDenoising	CodeCode Available	5
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation	Jul 7, 2025	Contrastive LearningDenoising	CodeCode Available	5
ColorFool: Semantic Adversarial Colorization	Nov 25, 2019	Adversarial AttackColorization	CodeCode Available	5
Hierarchical Relational Networks for Group Activity Recognition and Retrieval	Sep 1, 2018	Activity RecognitionDenoising	CodeCode Available	5
Hiding Images in Diffusion Models by Editing Learned Score Functions	Mar 24, 2025	Denoisingparameter-efficient fine-tuning	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