Half-quadratic image restoration with a non-parallelism constraint

DOI10.1007/s10851-017-0731-7zbMath1426.68279OpenAlexW2609006662WikidataQ113106933 ScholiaQ113106933MaRDI QIDQ1703955

Ivan Gerace, Antonio Boccuto, Francesca Martinelli

Publication date: 8 March 2018

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-017-0731-7

zbMATH Keywords

Newton methoddenoisingconvex dualitydeblurringhalf-quadratic regularizationGNC technique

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Hahn-Banach-type theorems and applications to optimization for partially ordered vector space-valued invariant operators ⋮ A Blind Source Separation Technique for Document Restoration

Cites Work

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• Penalized likelihood regression for generalized linear models with non-quadratic penalties
• Restoration of manifold-valued images by half-quadratic minimization
• Convex image denoising via non-convex regularization with parameter selection
• A novel method of infrared image denoising and edge enhancement
• Functional analysis, Sobolev spaces and partial differential equations
• Convex approximation technique for interacting line elements deblurring: a new approach
• Edge-preserving reconstruction with contour-line smoothing and non-quadratic data-fidelity
• A preconditioned conjugate gradient method for multiplicative half-quadratic image restoration
• Signal recovery from incomplete measurements in the presence of outliers
• Minimization of functions having Lipschitz continuous first partial derivatives
• Approximation by Nonlinear Multivariate Sampling Kantorovich Type Operators and Applications to Image Processing
• WHAT IS...a Fenchel Conjugate?
• A class of nonmonotone Armijo-type line search method for unconstrained optimization
• Optimization by Stochastic Continuation
• Generic Half-Quadratic Optimization for Image Reconstruction
• On Regularization Parameters Estimation in Edge–Preserving Image Reconstruction
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Probabilistic Solution of Ill-Posed Problems in Computational Vision
• Variational Analysis
• Convex half-quadratic criteria and interacting auxiliary variables for image restoration
• Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
• Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction
• On $\ell_1$ Data Fitting and Concave Regularization for Image Recovery
• Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
• Non-Lipschitz $\ell_{p}$-Regularization and Box Constrained Model for Image Restoration
• Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
• Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
• Applications of sampling Kantorovich operators to thermographic images for seismic engineering
• Convex Analysis
• Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares

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