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Noise Suppression With Similarity-Based Self-Supervised Deep Learning

IEEE transactions on medical imaging, 2023-06, Vol.42 (6), p.1590-1602

2023

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Learning Enriched Features for Real Image Restoration and Enhancement

Computer Vision - ECCV 2020, 2020, Vol.12370, p.492-511

2020

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A review of multi-objective deep learning speech denoising methods

Speech communication, 2020-09, Vol.122, p.1-10

2020

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Class-Aware Fully Convolutional Gaussian and Poisson Denoising

IEEE transactions on image processing, 2018-11, Vol.27 (11), p.5707-5722

2018

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Review of noise removal techniques in ECG signals

IET signal processing, 2020-12, Vol.14 (9), p.569-590

2020

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Denoising Prior Driven Deep Neural Network for Image Restoration

IEEE transactions on pattern analysis and machine intelligence, 2019-10, Vol.41 (10), p.2305-2318

2019

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Improved BM3D denoising method

IET image processing, 2017-12, Vol.11 (12), p.1197-1204

2017

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Deep learning on image denoising: An overview

Neural networks, 2020-11, Vol.131, p.251-275

2020

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Category-Specific Object Image Denoising

IEEE transactions on image processing, 2017-11, Vol.26 (11), p.5506-5518

2017

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Fringe denoising algorithms: A review

Optics and lasers in engineering, 2020-12, Vol.135, p.106190, Article 106190

2020

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A Review of Image Denoising Methods

Journal of engineering science and technology review, 2015-12, Vol.8 (5), p.41-48

2015

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Few-Shot Learning for Image Denoising

IEEE transactions on circuits and systems for video technology, 2023-09, Vol.33 (9), p.1-1

2023

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Image Restoration by Iterative Denoising and Backward Projections

IEEE transactions on image processing, 2019-03, Vol.28 (3), p.1220-1234

2019

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Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L0-regularised gradient prior for passive millimetre-wave images

IET image processing, 2020-12, Vol.14 (17), p.4774-4784

2020

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Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.1205-1218

2019

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RENOIR – A dataset for real low-light image noise reduction

Journal of visual communication and image representation, 2018-02, Vol.51, p.144-154

2018

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Model‐guided boosting for image denoising

Signal processing, 2022-12, Vol.201, p.108721, Article 108721

2022

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Hybridizing β-hill climbing with wavelet transform for denoising ECG signals

Information sciences, 2018-03, Vol.429, p.229-246

2018

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Kernel-predicting convolutional networks for denoising Monte Carlo renderings

ACM transactions on graphics, 2017-08, Vol.36 (4), p.1-14

2017

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BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering

IEEE signal processing letters, 2018-01, Vol.25 (1), p.55-59

2018

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A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising

IEEE transactions on signal processing, 2020, Vol.68, p.1168-1180

2020

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Multiframe-to-Multiframe Network for Video Denoising

IEEE transactions on multimedia, 2022-01, Vol.24, p.2164-2178

2022

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3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.363-375

2021

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Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

IEEE transactions on image processing, 2020, Vol.29, p.7889-7903

2020

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State-of-art analysis of image denoising methods using convolutional neural networks

IET image processing, 2019-11, Vol.13 (13), p.2367-2380

2019

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Noise Suppression With Similarity-Based Self-Supervised Deep Learning

Learning Enriched Features for Real Image Restoration and Enhancement

A review of multi-objective deep learning speech denoising methods

Class-Aware Fully Convolutional Gaussian and Poisson Denoising

Review of noise removal techniques in ECG signals

Denoising Prior Driven Deep Neural Network for Image Restoration

Improved BM3D denoising method

Deep learning on image denoising: An overview

Category-Specific Object Image Denoising

Fringe denoising algorithms: A review

A Review of Image Denoising Methods

Few-Shot Learning for Image Denoising

Image Restoration by Iterative Denoising and Backward Projections

Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L0-regularised gradient prior for passive millimetre-wave images

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

RENOIR – A dataset for real low-light image noise reduction

Model‐guided boosting for image denoising

Hybridizing β-hill climbing with wavelet transform for denoising ECG signals

Kernel-predicting convolutional networks for denoising Monte Carlo renderings

BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering

A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising

Multiframe-to-Multiframe Network for Video Denoising

3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

State-of-art analysis of image denoising methods using convolutional neural networks

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