A scaled gradient projection method for constrained image deblurring
From MaRDI portal
Publication:3598129
DOI10.1088/0266-5611/25/1/015002zbMath1155.94011OpenAlexW2015131139MaRDI QIDQ3598129
Silvia Bonettini, Luca Zanni, Riccardo Zanella
Publication date: 30 January 2009
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/0266-5611/25/1/015002
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Methods of reduced gradient type (90C52)
Related Items
On the application of the spectral projected gradient method in image segmentation, Restoration of Poissonian Images Using Nonconvex Regularizer with Overlapping Group Sparsity, Accelerating gradient projection methods for \(\ell _1\)-constrained signal recovery by steplength selection rules, A convergent least-squares regularized blind deconvolution approach, On the rate of convergence of projected Barzilai–Borwein methods, Comparison of active-set and gradient projection-based algorithms for box-constrained quadratic programming, Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography, On the convergence rate of scaled gradient projection method, Runge-Kutta-like scaling techniques for first-order methods in convex optimization, Simultaneous reconstruction of emission and attenuation in passive gamma emission tomography of spent nuclear fuel, Constrained numerical optimization methods for blind deconvolution, Numerical methods for parameter estimation in Poisson data inversion, Incorporating multiple a priori information for inverse problem by inexact scaled gradient projection, Acceleration of multiplicative iterative algorithms for image deblurring by duality maps in Banach spaces, Gradient method with multiple damping for large-scale unconstrained optimization, A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography, On the steplength selection in gradient methods for unconstrained optimization, A new steplength selection for scaled gradient methods with application to image deblurring, Image regularization by nonnegatively constrained conjugate gradient, On the stationarity for nonlinear optimization problems with polyhedral constraints, A comparison of edge-preserving approaches for differential interference contrast microscopy, Iterative algorithms for a non-linear inverse problem in atmospheric lidar, Combined Newton-gradient method for constrained root-finding in chemical reaction networks, Spectral Properties of Barzilai--Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds, A local MM subspace method for solving constrained variational problems in image recovery, Explainable bilevel optimization: an application to the Helsinki Deblur Challenge, Analysis of a variable metric block coordinate method under proximal errors, Preconditioned iterative regularization in Banach spaces, A limited memory BFGS method for a nonlinear inverse problem in digital breast tomosynthesis, Optimal non-negative forecast reconciliation, A harmonic framework for stepsize selection in gradient methods, Shearlet-based regularized reconstruction in region-of-interest computed tomography, Iterative regularization algorithms for constrained image deblurring on graphics processors, Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization, Scaled projected-directions methods with application to transmission tomography, Stopping rules for iterative methods in nonnegatively constrained deconvolution, Variable metric forward-backward algorithm for minimizing the sum of a differentiable function and a convex function, Quasi-Newton projection methods and the discrepancy principle in image restoration, Variable metric techniques for forward-backward methods in imaging, A cyclic block coordinate descent method with generalized gradient projections, Convex blind image deconvolution with inverse filtering, Image reconstruction and restoration using the simplified topological \(\varepsilon\)-algorithm, Adaptive total variation regularization based scheme for Poisson noise removal, Robust regression for mixed Poisson-Gaussian model, A coordinate descent method for total variation minimization, A new spectral method for \(l_1\)-regularized minimization, On the low rank solution of the Q‐weighted nearest correlation matrix problem, Augmented Lagrangian method for total generalized variation based Poissonian image restoration, Steplength selection in gradient projection methods for box-constrained quadratic programs, On starting and stopping criteria for nested primal-dual iterations, Starlet Transform in Astronomical Data Processing, Total Variation Regularization Strategies in Full-Waveform Inversion, A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables, Nonlinear conjugate gradient method for spectral tomosynthesis, A block coordinate variable metric linesearch based proximal gradient method, Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm, ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration, Two adaptive scaled gradient projection methods for Stiefel manifold constrained optimization, Bounded perturbation resilience of projected scaled gradient methods, Inexact Bregman iteration for deconvolution of superimposed extended and point sources, Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization, Scaling Techniques for $\epsilon$-Subgradient Methods, A Variable Metric Forward-Backward Method with Extrapolation, Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications, Some projection methods with the BB step sizes for variational inequalities, Numerical Methods for $Q$-Weighted Nonnegative Matrix Tri-Factorization, On the inexact scaled gradient projection method, On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence, A view of computational models for image segmentation, On the convergence properties of scaled gradient projection methods with non-monotone Armijo-like line searches, NEW ADAPTIVE BARZILAI–BORWEIN STEP SIZE AND ITS APPLICATION IN SOLVING LARGE-SCALE OPTIMIZATION PROBLEMS, A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems, A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data, Equipping the Barzilai--Borwein Method with the Two Dimensional Quadratic Termination Property, An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization, Scaling techniques for gradient projection-type methods in astronomical image deblurring, Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization, Hybrid limited memory gradient projection methods for box-constrained optimization problems, The topological gradient method for semi-linear problems and application to edge detection and noise removal
Uses Software
