Energy Minimization Methods (Q2789802)

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Language	Label	Description	Also known as
English	Energy Minimization Methods	scientific article

Statements

scholarly article

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Energy Minimization Methods (English)

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Handbook of Mathematical Methods in Imaging

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publication date

2 March 2016

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full work available at URL

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.711.413

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MaRDI profile type

MaRDI publication profile

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Digital filters as absolute norm regularizers

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Regularization of Wavelet Approximations

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

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A Variational Approach to Removing Multiplicative Noise

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Structure-texture image decomposition -- modeling, algorithms, and parameter selection

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Image deblurring in the presence of impulsive noise

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Wavelet domain image restoration with adaptive edge-preserving regularization

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Proximal alternating linearized minimization for nonconvex and nonsmooth problems

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Regularization of linear inverse problems with total generalized variation

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Total Generalized Variation

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Fast Discrete Curvelet Transforms

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New multiscale transforms, minimum total variation synthesis: Applications to edge-preserving image reconstruction

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Image sharpening by flows based on triple well potentials

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Aspects of Total Variation Regularized<i>L</i><sup>1</sup>Function Approximation

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Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models

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Non-Lipschitz $\ell_{p}$-Regularization and Box Constrained Model for Image Restoration

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Stein block thresholding for image denoising

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Combining the calculus of variations and wavelets for image enhancement.

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Recovery of Blocky Images from Noisy and Blurred Data

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Ideal spatial adaptation by wavelet shrinkage

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Adapting to Unknown Smoothness via Wavelet Shrinkage

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Well-posed optimization problems

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Reconstruction of Wavelet Coefficients Using Total Variation Minimization

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Denoising of Frame Coefficients Using $\ell^1$ Data-Fidelity Term and Edge-Preserving Regularization

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Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients

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The TVL1 Model: A Geometric Point of View

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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors

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Statistical imaging and complexity regularization

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Optimal approximations by piecewise smooth functions and associated variational problems

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Least squares and bounded variation regularization with nondifferentiable functionals

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Thresholding implied by truncated quadratic regularization

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Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers

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A variational approach to remove outliers and impulse noise

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Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares

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Signal recovery from incomplete measurements in the presence of outliers

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On $\ell_1$ Data Fitting and Concave Regularization for Image Recovery

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High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?

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Nonlinear total variation based noise removal algorithms

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Optimization by Stochastic Continuation

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From simulated annealing to stochastic continuation: a new trend in combinatorial optimization

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A local update strategy for iterative reconstruction from projections

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Error estimates for regularized solutions of non-linear ill-posed problems

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Locally analytic schemes: a link between diffusion filtering and wavelet shrinkage

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Identifiers

zbMATH Open document ID

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10.1007/978-1-4939-0790-8_5

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2789802

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