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 1261–1270 of 7282 papers

Title	Date	Tasks	Status	Hype	Score
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models	Aug 30, 2023	DenoisingImage Segmentation	CodeCode Available	1	5
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift	Mar 17, 2022	4kBurst Image Reconstruction	CodeCode Available	1	5
Data-Driven Denoising of Stationary Accelerometer Signals	Jun 13, 2022	BenchmarkingDenoising	CodeCode Available	1	5
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case	Feb 24, 2021	DenoisingFew-Shot Learning	CodeCode Available	1	5
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable	Sep 7, 2020	DenoisingImage Denoising	CodeCode Available	1	5
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion	Dec 7, 2021	DenoisingPoint Cloud Completion	CodeCode Available	1	5
Adversarial Distortion Learning for Medical Image Denoising	Apr 29, 2022	Color Image DenoisingDenoising	CodeCode Available	1	5
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow	Dec 12, 2021	DemosaickingDenoising	CodeCode Available	1	5
Are Diffusion Models Vision-And-Language Reasoners?	May 25, 2023	DenoisingImage Generation	CodeCode Available	1	5
DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data	Apr 17, 2023	DenoisingSelf-Supervised Learning	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