Nonlinear Inverse Problems in Imaging
Title | Nonlinear Inverse Problems in Imaging PDF eBook |
Author | Jin Keun Seo |
Publisher | John Wiley & Sons |
Pages | 379 |
Release | 2012-11-16 |
Genre | Technology & Engineering |
ISBN | 1118478150 |
This book provides researchers and engineers in the imaging field with the skills they need to effectively deal with nonlinear inverse problems associated with different imaging modalities, including impedance imaging, optical tomography, elastography, and electrical source imaging. Focusing on numerically implementable methods, the book bridges the gap between theory and applications, helping readers tackle problems in applied mathematics and engineering. Complete, self-contained coverage includes basic concepts, models, computational methods, numerical simulations, examples, and case studies. Provides a step-by-step progressive treatment of topics for ease of understanding. Discusses the underlying physical phenomena as well as implementation details of image reconstruction algorithms as prerequisites for finding solutions to non linear inverse problems with practical significance and value. Includes end of chapter problems, case studies and examples with solutions throughout the book. Companion website will provide further examples and solutions, experimental data sets, open problems, teaching material such as PowerPoint slides and software including MATLAB m files. Essential reading for Graduate students and researchers in imaging science working across the areas of applied mathematics, biomedical engineering, and electrical engineering and specifically those involved in nonlinear imaging techniques, impedance imaging, optical tomography, elastography, and electrical source imaging
Linear and Nonlinear Inverse Problems with Practical Applications
Title | Linear and Nonlinear Inverse Problems with Practical Applications PDF eBook |
Author | Jennifer L. Mueller |
Publisher | SIAM |
Pages | 349 |
Release | 2012-11-30 |
Genre | Mathematics |
ISBN | 1611972337 |
Inverse problems arise in practical applications whenever there is a need to interpret indirect measurements. This book explains how to identify ill-posed inverse problems arising in practice and gives a hands-on guide to designing computational solution methods for them, with related codes on an accompanying website. The guiding linear inversion examples are the problem of image deblurring, x-ray tomography, and backward parabolic problems, including heat transfer. A thorough treatment of electrical impedance tomography is used as the guiding nonlinear inversion example which combines the analytic-geometric research tradition and the regularization-based school of thought in a fruitful manner. This book is complete with exercises and project topics, making it ideal as a classroom textbook or self-study guide for graduate and advanced undergraduate students in mathematics, engineering or physics who wish to learn about computational inversion. It also acts as a useful guide for researchers who develop inversion techniques in high-tech industry.
Linear and Nonlinear Inverse Problems with Practical Applications
Title | Linear and Nonlinear Inverse Problems with Practical Applications PDF eBook |
Author | Jennifer L. Mueller |
Publisher | SIAM |
Pages | 351 |
Release | 2012-11-30 |
Genre | Mathematics |
ISBN | 9781611972344 |
Inverse problems arise in practical applications whenever there is a need to interpret indirect measurements. This book explains how to identify ill-posed inverse problems arising in practice and gives a hands-on guide to designing computational solution methods for them, with related codes on an accompanying website. The guiding linear inversion examples are the problem of image deblurring, x-ray tomography, and backward parabolic problems, including heat transfer. A thorough treatment of electrical impedance tomography is used as the guiding nonlinear inversion example which combines the analytic-geometric research tradition and the regularization-based school of thought in a fruitful manner. This book is complete with exercises and project topics, making it ideal as a classroom textbook or self-study guide for graduate and advanced undergraduate students in mathematics, engineering or physics who wish to learn about computational inversion. It also acts as a useful guide for researchers who develop inversion techniques in high-tech industry.
Handbook of Mathematical Methods in Imaging
Title | Handbook of Mathematical Methods in Imaging PDF eBook |
Author | Otmar Scherzer |
Publisher | Springer Science & Business Media |
Pages | 1626 |
Release | 2010-11-23 |
Genre | Mathematics |
ISBN | 0387929193 |
The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
Introduction to Inverse Problems in Imaging
Title | Introduction to Inverse Problems in Imaging PDF eBook |
Author | M. Bertero |
Publisher | CRC Press |
Pages | 364 |
Release | 2020-08-30 |
Genre | Technology & Engineering |
ISBN | 1439822069 |
This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and engineering. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercises throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems.
Computational Methods for Inverse Problems
Title | Computational Methods for Inverse Problems PDF eBook |
Author | Curtis R. Vogel |
Publisher | SIAM |
Pages | 195 |
Release | 2002-01-01 |
Genre | Mathematics |
ISBN | 0898717574 |
Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
Parameter Estimation and Inverse Problems
Title | Parameter Estimation and Inverse Problems PDF eBook |
Author | Richard C. Aster |
Publisher | Elsevier |
Pages | 406 |
Release | 2018-10-16 |
Genre | Science |
ISBN | 0128134232 |
Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more. - Features examples that are illustrated with simple, easy to follow problems that illuminate the details of a particular numerical method - Includes an online instructor's guide that helps professors teach and customize exercises and select homework problems - Covers updated information on adjoint methods that are presented in an accessible manner