Pages that link to "Item:Q5369990"

The following pages link to An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems (Q5369990):

Displaying 50 items.

• The Little Engine that Could: Regularization by Denoising (RED) (Q148569) (← links)
• Iterative choice of the optimal regularization parameter in TV image restoration (Q256109) (← links)
• Compressed sensing image restoration based on data-driven multi-scale tight frame (Q313691) (← links)
• A distributed continuous time consensus algorithm for maximize social welfare in micro grid (Q325872) (← links)
• Image decomposition combining a total variational filter and a Tikhonov quadratic filter (Q335946) (← links)
• Fast alternating linearization methods for minimizing the sum of two convex functions (Q378095) (← links)
• Multiplicative denoising based on linearized alternating direction method using discrepancy function constraint (Q474952) (← links)
• New augmented Lagrangian-based proximal point algorithm for convex optimization with equality constraints (Q727234) (← links)
• Nonlinear stochastic partial differential equations with singular diffusivity and gradient Stratonovich noise (Q738908) (← links)
• An automatic regularization parameter selection algorithm in the total variation model for image deblurring (Q742848) (← links)
• Backtracking-based simultaneous orthogonal matching pursuit for sparse unmixing of hyperspectral data (Q1666730) (← links)
• Bound alternative direction optimization for image deblurring (Q1717868) (← links)
• Coded aperture optimization for single pixel compressive computed tomography (Q1757354) (← links)
• Using generalized cross validation to select regularization parameter for total variation regularization problems (Q1785029) (← links)
• An orthogonal parallel symbiotic organism search algorithm embodied with augmented Lagrange multiplier for solving constrained optimization problems (Q1797908) (← links)
• An alternating direction method for finding Dantzig selectors (Q1927184) (← links)
• An inexact alternating directions algorithm for constrained total variation regularized compressive sensing problems (Q1932970) (← links)
• Constrained SART algorithm for inverse problems in image reconstruction (Q1951304) (← links)
• A parallel alternating direction method with application to compound \(l_{1}\)-regularized imaging inverse problems (Q1991844) (← links)
• An effective alternating direction method of multipliers for color image restoration (Q1995935) (← links)
• Total variation with overlapping group sparsity for deblurring images under Cauchy noise (Q2007788) (← links)
• A combined higher order non-convex total variation with overlapping group sparsity for Poisson noise removal (Q2140759) (← links)
• A smoothing neural network for minimization \(l_1\)-\(l_p\) in sparse signal reconstruction with measurement noises (Q2185680) (← links)
• Residual-based stabilized formulation for the solution of inverse elliptic partial differential equations (Q2194804) (← links)
• Adaptive coded aperture design for compressive computed tomography (Q2222079) (← links)
• Three-dimensional fractional total variation regularized tensor optimized model for image deblurring (Q2243208) (← links)
• A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation (Q2251191) (← links)
• Solving \(\ell_0\)-penalized problems with simple constraints via the Frank-Wolfe reduced dimension method (Q2257078) (← links)
• A parallel primal-dual splitting method for image restoration (Q2279570) (← links)
• Non-convex and non-smooth variational decomposition for image restoration (Q2310546) (← links)
• LSALSA: accelerated source separation via learned sparse coding (Q2320559) (← links)
• A fast alternating minimization algorithm for total variation deblurring without boundary artifacts (Q2338869) (← links)
• A modified Newton projection method for \(\ell _1\)-regularized least squares image deblurring (Q2353428) (← links)
• Nonconvex mixed TV/Cahn-Hilliard functional for super-resolution/segmentation of 3D trabecular bone images (Q2417939) (← links)
• Multi-source adaptation joint kernel sparse representation for visual classification (Q2418128) (← links)
• Some results on augmented Lagrangians in constrained global optimization via image space analysis (Q2435019) (← links)
• Relaxed augmented Lagrangian-based proximal point algorithms for convex optimization with linear constraints (Q2438398) (← links)
• A coupled variational model for image denoising using a duality strategy and split Bregman (Q2441370) (← links)
• Proximal Markov chain Monte Carlo algorithms (Q2628880) (← links)
• A customized proximal point algorithm for convex minimization with linear constraints (Q2636606) (← links)
• Primal–dual first-order methods for a class of cone programming (Q2867434) (← links)
• An alternating direction method for total variation denoising (Q2943837) (← links)
• A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media (Q3130738) (← links)
• An Abstract Framework for Elliptic Inverse Problems: Part 2. An Augmented Lagrangian Approach (Q3161508) (← links)
• Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes (Q3179612) (← links)
• An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing (Q3189422) (← links)
• A Proximal Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming with Applications to Imaging (Q3192655) (← links)
• On the Use of ADMM for Imaging Inverse Problems: the Pros and Cons of Matrix Inversions (Q3294738) (← links)
• A Convex Approach for Image Restoration with Exact Poisson--Gaussian Likelihood (Q3454505) (← links)
• Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau (Q4686924) (← links)