Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations

Convex programming (90C25) Numerical optimization and variational techniques (65K10) Parallel algorithms in computer science (68W10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Modeling regular textures in images using the Radon transform

Uses Software

SPGL1

Cites Work

Extreme point inequalities and geometry of the rank sparsity ball
On the linear convergence of the alternating direction method of multipliers
Fabric defect detection using modified local binary patterns
A dual algorithm for the solution of nonlinear variational problems via finite element approximation
A note on the alternating direction method of multipliers
On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function
Motif-based defect detection for patterned fabric
Processing Stationary Noise: Model and Parameter Selection in Variational Methods
On the $O(1/n)$ Convergence Rate of the Douglas–Rachford Alternating Direction Method
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
Deblurring Images
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Probing the Pareto Frontier for Basis Pursuit Solutions
The 17 plane symmetry groups
Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging
Convex analysis and monotone operator theory in Hilbert spaces
Sparse Image and Signal Processing
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
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