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

A Generalized Hybrid Nonconvex Variational Regularization Model for Staircase Reduction in Image Restoration

(2019) Liming Tang et al.   NEUROCOMPUTING

An efficient nonlocal variational method with application to underwater image restoration

(2019) Guojia Hou et al.   NEUROCOMPUTING

A novel dark channel prior guided variational framework for underwater image restoration

(2019) Guojia Hou et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Color image restoration and inpainting via multi-channel total curvature

(2018) Lu Tan et al.   APPLIED MATHEMATICAL MODELLING

Adaptive overlapping-group sparse denoising for heart sound signals

(2018) Shi-Wen Deng et al.   Biomedical Signal Processing and Control

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

(2018) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

An efficient denoising framework using weighted overlapping group sparsity

(2018) Ahlad Kumar et al.   INFORMATION SCIENCES

Global Convergence of ADMM in Nonconvex Nonsmooth Optimization

(2018) Yu Wang et al.   JOURNAL OF SCIENTIFIC COMPUTING

Image denoising using combined higher order non-convex total variation with overlapping group sparsity

(2018) Tarmizi Adam et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Non-convex weighted ℓ p nuclear norm based ADMM framework for image restoration

(2018) Zhiyuan Zha et al.   NEUROCOMPUTING

Blind image deblurring by promoting group sparsity

(2018) Dong Gong et al.   NEUROCOMPUTING

A Variational Model with Hybrid Hyper-Laplacian Priors for Retinex

(2018) Ming-Hui Cheng et al.   APPLIED MATHEMATICAL MODELLING

Image restoration using spatially variant hyper-Laplacian prior

(2018) Junting Cheng et al.   Signal Image and Video Processing

The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior

(2018) Liang-Jian Deng et al.   Information Fusion

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning

(2017) Ying Sun et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems

(2017) Tianyi Lin et al.   JOURNAL OF SCIENTIFIC COMPUTING

Convergence Rate Analysis of the Majorize–Minimize Subspace Algorithm

(2016) Emilie Chouzenoux et al.   IEEE SIGNAL PROCESSING LETTERS

Total variation with overlapping group sparsity for speckle noise reduction

(2016) Jun Liu et al.   NEUROCOMPUTING

Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

(2016) Mingyi Hong et al.   SIAM JOURNAL ON OPTIMIZATION

Total variation image restoration using hyper-Laplacian prior with overlapping group sparsity

(2016) Mingzhu Shi et al.   SIGNAL PROCESSING

Variational Bayesian image restoration with group-sparse modeling of wavelet coefficients

(2015) Ganchi Zhang et al.   DIGITAL SIGNAL PROCESSING

A total variation recursive space-variant filter for image denoising

(2015) Manya V. Afonso et al.   DIGITAL SIGNAL PROCESSING

Generalized Total Variation: Tying the Knots

(2015) Ivan W. Selesnick   IEEE SIGNAL PROCESSING LETTERS

Image restoration using total variation with overlapping group sparsity

(2015) Jun Liu et al.   INFORMATION SCIENCES

An efficient nonconvex regularization for wavelet frame and total variation based image restoration

(2015) Xiao-Guang Lv et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Global Convergence of Splitting Methods for Nonconvex Composite Optimization

(2015) Guoyin Li et al.   SIAM JOURNAL ON OPTIMIZATION

Exploiting the wavelet structure in compressed sensing MRI

(2014) Chen Chen et al.   MAGNETIC RESONANCE IMAGING

An alternating direction method for total variation denoising

(2014) Zhiwei (Tony) Qin et al.   OPTIMIZATION METHODS & SOFTWARE

Non-convex hybrid total variation for image denoising

(2013) Seungmi Oh et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Proximal alternating linearized minimization for nonconvex and nonsmooth problems

(2013) Jérôme Bolte et al.   MATHEMATICAL PROGRAMMING

Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

(2013) Raymond H. Chan et al.   SIAM Journal on Imaging Sciences

Fractional order total variation regularization for image super-resolution

(2013) Zemin Ren et al.   SIGNAL PROCESSING

Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

(2011) Hedy Attouch et al.   MATHEMATICAL PROGRAMMING

Nonlocal Operators with Applications to Image Processing

(2008) Guy Gilboa et al.   MULTISCALE MODELING & SIMULATION