Large-Scale Inverse Problems in Imaging
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Publication:2789799
DOI10.1007/978-1-4939-0790-8_2zbMath1331.94015OpenAlexW4211197060MaRDI QIDQ2789799
James G. Nagy, Julianne Chung, Sarah Knepper
Publication date: 2 March 2016
Published in: Handbook of Mathematical Methods in Imaging (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-1-4939-0790-8_2
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) General theory of mathematical modeling (00A71)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- Separable least squares, variable projection, and the Gauss-Newton algorithm
- An efficient computational method for total variation-penalized Poisson likelihood estimation
- Stopping rules for a nonnegatively constrained iterative method for ill-posed Poisson imaging problems
- Extensions of compressed sensing
- A bidiagonalization algorithm for solving large and sparse ill-posed systems of linear equations
- Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems
- An implicit shift bidiagonalization algorithm for ill-posed systems
- Tikhonov regularization of large linear problems
- Limitations of the \(L\)-curve method in ill-posed problems
- A GCV based method for nonlinear ill-posed problems
- The Mathematics of Computerized Tomography
- Direct Blind Deconvolution
- Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
- Mathematical Methods in Image Reconstruction
- An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems
- Image Deconvolution Using a General Ridgelet and Curvelet Domain
- Pitfalls in the Numerical Solution of Linear Ill-Posed Problems
- Deblurring Images
- Convergence rates for Tikhonov regularisation of non-linear ill-posed problems
- Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction
- Iterative total variation schemes for nonlinear inverse problems
- Fundamentals of Radar Imaging
- Optimal Choice of a Truncation Level for the Truncated SVD Solution of Linear First Kind Integral Equations When Data are Noisy
- Two-Point Step Size Gradient Methods
- A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
- On the Rates of Convergence of the Lanczos and the Block-Lanczos Methods
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- A Block Lanczos Method for Computing the Singular Values and Corresponding Singular Vectors of a Matrix
- Algorithms for Separable Nonlinear Least Squares Problems
- A Bidiagonalization-Regularization Procedure for Large Scale Discretizations of Ill-Posed Problems
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
- Numerical tools for analysis and solution of Fredholm integral equations of the first kind
- A variable projection method for solving separable nonlinear least squares problems
- Numerical Optimization
- The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
- An Introduction to Inverse Scattering and Inverse Spectral Problems
- Rank-Deficient and Discrete Ill-Posed Problems
- Restoring Images Degraded by Spatially Variant Blur
- Separable nonlinear least squares: the variable projection method and its applications
- Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement
- A Nonnegatively Constrained Convex Programming Method for Image Reconstruction
- On optimization techniques for solving nonlinear inverse problems
- Non-convergence of the L-curve regularization parameter selection method
- Computational Methods for Inverse Problems
- Discrete Inverse Problems
- Introduction to Bayesian Scientific Computing
- A Projection‐Based Approach to General‐Form Tikhonov Regularization
- Truncated Gauss–Newton algorithms for Ill-conditioned nonlinear least squares problems
- Stable signal recovery from incomplete and inaccurate measurements
- Numerical methods for coupled super-resolution
- Least Squares Methods for Ill-Posed Problems with a Prescribed Bound
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
- Image Processing and Analysis
- An Iteration Formula for Fredholm Integral Equations of the First Kind
