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 2361–2370 of 7282 papers

Title	Date	Tasks	Status	Score
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer	Feb 24, 2024	Contrastive LearningDeblurring	CodeCode Available	5
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and Enhancement	Oct 20, 2018	Computational EfficiencyDenoising	CodeCode Available	5
Image Reconstruction with Predictive Filter Flow	Nov 28, 2018	DeblurringDenoising	CodeCode Available	5
Image quality measurements and denoising using Fourier Ring Correlations	Jan 11, 2022	DenoisingSSIM	CodeCode Available	5
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections	Jun 29, 2016	DenoisingImage Denoising	CodeCode Available	5
Constrained and unconstrained deep image prior optimization models with automatic regularization	Jul 27, 2022	DeblurringDenoising	CodeCode Available	5
Image Embedding for Denoising Generative Models	Dec 30, 2022	DenoisingImage Generation	CodeCode Available	5
Image Fusion via Sparse Regularization with Non-Convex Penalties	May 23, 2019	Denoising	CodeCode Available	5
Consistent Human Image and Video Generation with Spatially Conditioned Diffusion	Dec 19, 2024	Computational EfficiencyDenoising	CodeCode Available	5
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning	Aug 6, 2024	Activity RecognitionDenoising	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