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 1401–1410 of 7282 papers

Title	Date	Tasks	Status	Hype	Score
EEG Synthetic Data Generation Using Probabilistic Diffusion Models	Mar 6, 2023	Brain Computer InterfaceData Augmentation	CodeCode Available	1	5
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising	Sep 24, 2020	Deep LearningDenoising	CodeCode Available	1	5
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors	Jun 19, 2021	DenoisingImage Denoising	CodeCode Available	1	5
Interpolating between Images with Diffusion Models	Jul 24, 2023	DenoisingImage Generation	CodeCode Available	1	5
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction	Nov 30, 2021	DenoisingImage Reconstruction	CodeCode Available	1	5
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification	Nov 4, 2023	ClassificationCross-Domain Few-Shot	CodeCode Available	1	5
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale	Dec 11, 2023	DenoisingImage Generation	CodeCode Available	1	5
Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios	Mar 17, 2025	Denoising	CodeCode Available	1	5
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models	Oct 5, 2023	DenoisingImage Generation	CodeCode Available	1	5
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning	Apr 14, 2025	DenoisingRecommendation Systems	CodeCode Available	1	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