Jun Liu

发表

Global Quasi-Minimal Residual Method for Image Restoration

Tingzhu Huang, Xile Zhao, Xiao-Guang Lv, 2015 .

High-order total variation-based Poissonian image deconvolution with spatially adapted regularization parameter

Ting-Zhu Huang, Xiao-Guang Lv, Jun Liu, 2017 .

A COMBINED FIRST-ORDER AND SECOND-ORDER VARIATION APPROACH FOR MULTIPLICATIVE NOISE REMOVAL

Xiao-Guang Lv, Jun Liu, Le Jiang, 2014, The ANZIAM Journal.

Restoration of blurred color images with impulse noise

Jie Huang, Ting-Zhu Huang, Jun Liu, 2015, Comput. Math. Appl..

An Efficient Variational Method for Image Restoration

Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv, 2013 .

Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach

Xiao-Guang Lv, Jun Liu, Le Jiang, 2013 .

New inexact explicit thresholding/shrinkage formulas for inverse problems with overlapping group sparsity

Tingzhu Huang, Xiao-Guang Lv, Jun Liu, 2016, EURASIP J. Image Video Process..

An augmented Lagrangian algorithm for total bounded variation regularization based image deblurring

Ting-Zhu Huang, Yi Xu, Jun Liu, 2014, J. Frankl. Inst..

Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model

Ting-Zhu Huang, Yi Xu, Jun Liu, 2013, J. Appl. Math..

Image restoration using overlapping group sparsity on hyper-Laplacian prior of image gradient

Xiaofei Wang, Jun Liu, Ying Sun, 2021, Neurocomputing.

A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise

Cuicui Zhao, Jun Liu, Jie Zhang, 2021, IEEE Access.

N A ] 9 M ay 2 01 4 New explicit thresholding / shrinkage formulas for one class of regularization problems with overlapping group sparsity and their applications ∗

Tingzhu Huang, Xiao-Guang Lv, Jun Liu, 2021 .

Image Smoothing Via Gradient Sparsity and Surface Area Minimization

Tieyong Zeng, Jinshan Zeng, Jun Liu, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Total variation with overlapping group sparsity for speckle noise reduction

Gang Liu, Ting-Zhu Huang, Jun Liu, 2016, Neurocomputing.

Deblurring Poisson noisy images by total variation with overlapping group sparsity

Le Jiang, Jun Liu, Xiao-Guang Lv, 2016, Appl. Math. Comput..

A convex total generalized variation regularized model for multiplicative noise and blur removal

Jun Liu, Ting-Zhu Huang, Mu-Ga Shama, 2016, Appl. Math. Comput..

Total Variation with Overlapping Group Sparsity for Image Deblurring under Impulse Noise

Gang Liu, Ting-Zhu Huang, Jun Liu, 2013, PloS one.

Image restoration using total variation with overlapping group sparsity pdf

Ting-Zhu Huang, Ivan W. Selesnick, Po-Yu Chen, 2013, Inf. Sci..

Alternating direction method for the high-order total variation-based Poisson noise removal problem

Jin Huang, Le Jiang, Jun Liu, 2014, Numerical Algorithms.

High-order TVL1-based images restoration and spatially adapted regularization parameter selection

Gang Liu, Ting-Zhu Huang, Jun Liu, 2014, Comput. Math. Appl..

High-Order Total Variation-Based Image Restoration with Spatially Adapted Parameter Selection

Le Jiang, Jun Liu, Jin Huang, 2014 .

New approximate thresholding/shrinkage formulas for one class of regularization problems with overlapping group sparsity pdf

Gang Liu, Ting-Zhu Huang, Jun Liu, 2013, ArXiv.

New explicit thresholding/shrinkage formulas for one class of regularization problems with overlapping group sparsity and their applications

Gang Liu, Ting-Zhu Huang, Jun Liu, 2013, 1312.6813.

High-order total variation-based multiplicative noise removal with spatially adapted parameter selection.

Zongben Xu, Ting-Zhu Huang, Jun Liu, 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

Compressive Sensing via Nonlocal Smoothed Rank Function

Ting-Zhu Huang, Xi-Le Zhao, Jun Liu, 2016, PloS one.

Surface-Aware Blind Image Deblurring

Tieyong Zeng, Ming Yan, Jun Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

OID: Outlier Identifying and Discarding in Blind Image Deblurring

Jun Liu, Liang Chen, Faming Fang, 2020, ECCV.

An efficient operator splitting method for local region Chan-Vese model

Tingzhu Huang, Jun Liu, Hui Wang, 2013, EURASIP Journal on Advances in Signal Processing.

Photoacoustic tomography from weak and noisy signals by using a pulse decomposition algorithm in the time-domain.

Jun Liu, Chao Tao, Senhua Wang, 2015, Optics express.

The Implementation of LSMR in Image Deblurring

Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv, 2014 .

Semi-blind image deblurring by a proximal alternating minimization method with convergence guarantees

Xi-Le Zhao, Jie Huang, Jun Liu, 2020, Appl. Math. Comput..

Poisson noisy image restoration via overlapping group sparse and nonconvex second-order total variation priors

Kyongson Jon, Jun Liu, Wensheng Zhu, 2021, PloS one.

Alternating direction method for the high-order total variation-based Poisson noise removal problem

Xiao-Guang Lv, Jun Liu, Le Jiang, 2015, Numerical Algorithms.

Wavelet Frame-Based Image Restoration via $\ell _2$-Relaxed Truncated $\ell _0$ Regularization and Nonlocal Estimation

Yilun Wang, Liangtian He, Jun Liu, 2021, IEEE Signal Processing Letters.

An improved predictive deconvolution based on maximization of non-Gaussianity

Jun Liu, Wenkai Lu, Wen-kai Lu, 2008 .

An efficient operator splitting method for local region Chan-Vese model

Hui Wang, Ting-Zhu Huang, Jun Liu, 2013, EURASIP Journal on Advances in Signal Processing.