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Revisiting the Regularizers in Blind Image Deblurring with A New One

IEEE transactions on image processing, 2023-01, Vol.32, p.1-1

Shao, Wen-Ze

2023

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Revisiting reweighted graph total variation blind deconvolution and beyond

The Visual computer, 2024-05, Vol.40 (5), p.3119-3135

2024

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Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal

IEEE transactions on image processing, 2017-07, Vol.26 (7), p.3098-3112

2017

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RTR-DPD: reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness

Multidimensional systems and signal processing, 2023-03, Vol.34 (1), p.291-320

2023

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Adapting total generalized variation for blind image restoration

Multidimensional systems and signal processing, 2019-04, Vol.30 (2), p.857-883

2019

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Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors

Journal of mathematical imaging and vision, 2019-07, Vol.61 (6), p.885-917

2019

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Enhancing Blurred Low-Resolution Images via Exploring the Potentials of Learning-Based Super-Resolution

International journal of pattern recognition and artificial intelligence, 2019-06, Vol.33 (7), p.1940007

2019

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Non-Blind Image Deblurring Method by the Total Variation Deep Network

IEEE access, 2019, Vol.7, p.37536-37544

2019

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Boosting normalized sparsity regularization for blind image deconvolution

Signal, image and video processing, 2017-05, Vol.11 (4), p.681-688

2017

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DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks

Signal processing, 2020-03, Vol.168, p.107338, Article 107338

2020

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Blind deconvolution via complementarily structure-aware image smoothing

Journal of electronic imaging, 2020-09, Vol.29 (5)

2020

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Bi-l0-l2-norm regularization for blind motion deblurring

Journal of visual communication and image representation, 2015-11, Vol.33, p.42-59

2015

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On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces

Neurocomputing (Amsterdam), 2019-10, Vol.364, p.1-15

2019

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Regularized motion blur-kernel estimation with adaptive sparse image prior learning

Pattern recognition, 2016-03, Vol.51, p.402-424

2016

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Gradient-based discriminative modeling for blind image deblurring

Neurocomputing (Amsterdam), 2020-11, Vol.413, p.305-327

2020

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A Generalized Robust Minimization Framework for Low-Rank Matrix Recovery

Mathematical problems in engineering, 2014-01, Vol.2014, p.1-8

2014

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Edge-and-corner preserving regularization for image interpolation and reconstruction

Image and vision computing, 2008-12, Vol.26 (12), p.1591-1606

2008

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Motion Deblurring Using Non-stationary Image Modeling

Journal of mathematical imaging and vision, 2015-06, Vol.52 (2), p.234-248

2015

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A Unified Optimization Perspective to Single/Multi-observation Blur-Kernel Estimation with Applications to Camera-Shake Deblurring and Nonparametric Blind Super-Resolution

Journal of mathematical imaging and vision, 2016-02, Vol.54 (2), p.216-239

2016

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Kullback–Leibler Divergence Based Composite Prior Modeling for Bayesian Super-Resolution

Journal of scientific computing, 2014-07, Vol.60 (1), p.60-78

2014

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Simple, Accurate, and Robust Nonparametric Blind Super-Resolution

Image and Graphics, p.333-348

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Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach

2019 IEEE International Conference on Image Processing (ICIP), 2019, p.4644-4648

2019

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A posterior mean approach for MRF-based spatially adaptive multi-frame image super-resolution

Signal, image and video processing, 2015-02, Vol.9 (2), p.437-449

2015

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Multi-Parseval frame–based nonconvex sparse image deconvolution

Optical engineering, 2012-06, Vol.51 (6), p.67008

Shao, Wen-Ze

2012

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A Deep Learning Approach to Single Image Dehazing Inspired by Euler Numerical Schemes

2023 8th International Conference on Signal and Image Processing (ICSIP), 2023, p.289-294

2023

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Revisiting the Regularizers in Blind Image Deblurring with A New One

Revisiting reweighted graph total variation blind deconvolution and beyond

Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal

RTR-DPD: reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness

Adapting total generalized variation for blind image restoration

Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors

Enhancing Blurred Low-Resolution Images via Exploring the Potentials of Learning-Based Super-Resolution

Non-Blind Image Deblurring Method by the Total Variation Deep Network

Boosting normalized sparsity regularization for blind image deconvolution

DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks

Blind deconvolution via complementarily structure-aware image smoothing

Bi-l0-l2-norm regularization for blind motion deblurring

On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces

Regularized motion blur-kernel estimation with adaptive sparse image prior learning

Gradient-based discriminative modeling for blind image deblurring

A Generalized Robust Minimization Framework for Low-Rank Matrix Recovery

Edge-and-corner preserving regularization for image interpolation and reconstruction

Motion Deblurring Using Non-stationary Image Modeling

A Unified Optimization Perspective to Single/Multi-observation Blur-Kernel Estimation with Applications to Camera-Shake Deblurring and Nonparametric Blind Super-Resolution

Kullback–Leibler Divergence Based Composite Prior Modeling for Bayesian Super-Resolution

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution

Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach

A posterior mean approach for MRF-based spatially adaptive multi-frame image super-resolution

Multi-Parseval frame–based nonconvex sparse image deconvolution

A Deep Learning Approach to Single Image Dehazing Inspired by Euler Numerical Schemes

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