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Inverse problems in science and engineering
| Inverse problems in science and engineering |
| Pubbl/distr/stampa | London ; ; New York : , : Taylor & Francis Group, , [2004]- |
| Disciplina |
620
515.35 |
| Soggetto topico |
Engineering mathematics
Inverse problems (Differential equations) |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Applied Mathematics |
| ISSN | 1741-5985 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910160229903321 |
| London ; ; New York : , : Taylor & Francis Group, , [2004]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari
| Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (469 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | Mohamad-DjafariAli |
| Collana | DSP : digital signal and image processing series |
| Soggetto topico |
Three-dimensional imaging - Mathematical models
Image processing - Mathematics Geometric tomography Inverse problems (Differential equations) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-60386-9
1-299-18743-9 1-118-60059-2 1-118-60046-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction to Inverse Problems in Imaging and Vision; 1.1. Inverse problems; 1.1.1. 1D signal case; 1.1.2. Convolution model for image restoration; 1.1.3. General linear model; 1.2. Specific vision problems; 1.2.1. Noise removal; 1.2.2. Segmentation; 1.2.3. Contour detection; 1.2.4. Restoration or reconstruction in vision; 1.3. Models for time-dependent quantities; 1.4. Inverse problems with multiple inputs and multiple outputs (MIMO); 1.4.1. MIMO deconvolution; 1.4.2. Super-resolution; 1.4.3. Source separation
1.5. Non-linear inverse problems1.5.1. Microwave imaging; 1.6. 3D reconstructions; 1.6.1. Reconstruction of the surface of a 3D object from its radiographs; 1.7. Inverse problems with multimodal observations; 1.7.1. Fusion of X-ray radiography and ultrasonic echography data; 1.8. Classification of inversion methods: analytical or algebraic; 1.8.1. Analytical inversion methods; 1.8.2. Analytical inversion methods in a dual space; 1.8.3. Discretization into pixels or voxels, and algebraic inversion; 1.9. Standard deterministic methods; 1.9.1. Matched filter or back-projection solution 1.9.2. Inverse solution in the classical sense1.9.3. Minimum-norm solution; 1.9.4. Least-squares solution; 1.9.5. The regularized solution; 1.9.6. Finding an inverse operator; 1.10. Probabilistic methods; 1.10.1. Bayesian estimation approach; 1.11. Problems specific to vision; 1.12. Introduction to the various chapters of the book; 1.12.1. Noise removal and contour detection; 1.12.2. Blind image deconvolution; 1.12.3. Triplet Markov chains and image segmentation; 1.12.4. Detection and recognition of a collection of objects in a scene; 1.12.5. Apparent motion estimation and visual tracking 1.12.6. Super-resolution1.12.7. Tomographic surface reconstruction; 1.12.8. Gauss-Markov-Potts prior for Bayesian inversion in microwave imaging; 1.12.9. 3D reconstruction from shadows; 1.12.10. Image separation; 1.12.11. Stereo reconstruction from satellite or aerial photography; 1.12.12. Fusion and multimodality; 1.13. Bibliography; Chapter 2. Noise Removal and Contour Detection; 2.1. Introduction; 2.1.1. Boolean line process models; 2.1.2. Half-quadratic regularization; 2.1.3. Comments; 2.1.4. Constraints on the contour variables; 2.1.5. Regularization of intensity and region segmentation 2.2. Statistical segmentation of noisy images2.2.1. Noise models; 2.2.2. Multiplicative noise in sonar and radar imagery; 2.2.3. Independent Gaussian noise; 2.2.4. Correlated Gaussian noise; 2.2.5. Generalized Gaussian noise; 2.3. Multi-band multi-scale Markovian regularization; 2.3.1. Bayesian inference; 2.3.2. Cost function; 2.3.3. Hierarchical Markovian models; 2.3.4. Markovian quad-tree; 2.3.5. Missing or erroneous data; 2.4. Bibliography; Chapter 3. Blind Image Deconvolution; 3.1. Introduction; 3.2. The blind deconvolution problem; 3.2.1. Ill-posed problem (multiple solutions) 3.2.2. Constraints and models for the point spread function |
| Record Nr. | UNINA-9910141507403321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari
| Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (469 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | Mohamad-DjafariAli |
| Collana | DSP : digital signal and image processing series |
| Soggetto topico |
Three-dimensional imaging - Mathematical models
Image processing - Mathematics Geometric tomography Inverse problems (Differential equations) |
| ISBN |
1-118-60386-9
1-299-18743-9 1-118-60059-2 1-118-60046-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction to Inverse Problems in Imaging and Vision; 1.1. Inverse problems; 1.1.1. 1D signal case; 1.1.2. Convolution model for image restoration; 1.1.3. General linear model; 1.2. Specific vision problems; 1.2.1. Noise removal; 1.2.2. Segmentation; 1.2.3. Contour detection; 1.2.4. Restoration or reconstruction in vision; 1.3. Models for time-dependent quantities; 1.4. Inverse problems with multiple inputs and multiple outputs (MIMO); 1.4.1. MIMO deconvolution; 1.4.2. Super-resolution; 1.4.3. Source separation
1.5. Non-linear inverse problems1.5.1. Microwave imaging; 1.6. 3D reconstructions; 1.6.1. Reconstruction of the surface of a 3D object from its radiographs; 1.7. Inverse problems with multimodal observations; 1.7.1. Fusion of X-ray radiography and ultrasonic echography data; 1.8. Classification of inversion methods: analytical or algebraic; 1.8.1. Analytical inversion methods; 1.8.2. Analytical inversion methods in a dual space; 1.8.3. Discretization into pixels or voxels, and algebraic inversion; 1.9. Standard deterministic methods; 1.9.1. Matched filter or back-projection solution 1.9.2. Inverse solution in the classical sense1.9.3. Minimum-norm solution; 1.9.4. Least-squares solution; 1.9.5. The regularized solution; 1.9.6. Finding an inverse operator; 1.10. Probabilistic methods; 1.10.1. Bayesian estimation approach; 1.11. Problems specific to vision; 1.12. Introduction to the various chapters of the book; 1.12.1. Noise removal and contour detection; 1.12.2. Blind image deconvolution; 1.12.3. Triplet Markov chains and image segmentation; 1.12.4. Detection and recognition of a collection of objects in a scene; 1.12.5. Apparent motion estimation and visual tracking 1.12.6. Super-resolution1.12.7. Tomographic surface reconstruction; 1.12.8. Gauss-Markov-Potts prior for Bayesian inversion in microwave imaging; 1.12.9. 3D reconstruction from shadows; 1.12.10. Image separation; 1.12.11. Stereo reconstruction from satellite or aerial photography; 1.12.12. Fusion and multimodality; 1.13. Bibliography; Chapter 2. Noise Removal and Contour Detection; 2.1. Introduction; 2.1.1. Boolean line process models; 2.1.2. Half-quadratic regularization; 2.1.3. Comments; 2.1.4. Constraints on the contour variables; 2.1.5. Regularization of intensity and region segmentation 2.2. Statistical segmentation of noisy images2.2.1. Noise models; 2.2.2. Multiplicative noise in sonar and radar imagery; 2.2.3. Independent Gaussian noise; 2.2.4. Correlated Gaussian noise; 2.2.5. Generalized Gaussian noise; 2.3. Multi-band multi-scale Markovian regularization; 2.3.1. Bayesian inference; 2.3.2. Cost function; 2.3.3. Hierarchical Markovian models; 2.3.4. Markovian quad-tree; 2.3.5. Missing or erroneous data; 2.4. Bibliography; Chapter 3. Blind Image Deconvolution; 3.1. Introduction; 3.2. The blind deconvolution problem; 3.2.1. Ill-posed problem (multiple solutions) 3.2.2. Constraints and models for the point spread function |
| Record Nr. | UNINA-9910830114603321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari
| Inverse problems in vision and 3D tomography [[electronic resource] /] / edited by Ali Mohamad-Djafari |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (469 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | Mohamad-DjafariAli |
| Collana | DSP : digital signal and image processing series |
| Soggetto topico |
Three-dimensional imaging - Mathematical models
Image processing - Mathematics Geometric tomography Inverse problems (Differential equations) |
| ISBN |
1-118-60386-9
1-299-18743-9 1-118-60059-2 1-118-60046-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction to Inverse Problems in Imaging and Vision; 1.1. Inverse problems; 1.1.1. 1D signal case; 1.1.2. Convolution model for image restoration; 1.1.3. General linear model; 1.2. Specific vision problems; 1.2.1. Noise removal; 1.2.2. Segmentation; 1.2.3. Contour detection; 1.2.4. Restoration or reconstruction in vision; 1.3. Models for time-dependent quantities; 1.4. Inverse problems with multiple inputs and multiple outputs (MIMO); 1.4.1. MIMO deconvolution; 1.4.2. Super-resolution; 1.4.3. Source separation
1.5. Non-linear inverse problems1.5.1. Microwave imaging; 1.6. 3D reconstructions; 1.6.1. Reconstruction of the surface of a 3D object from its radiographs; 1.7. Inverse problems with multimodal observations; 1.7.1. Fusion of X-ray radiography and ultrasonic echography data; 1.8. Classification of inversion methods: analytical or algebraic; 1.8.1. Analytical inversion methods; 1.8.2. Analytical inversion methods in a dual space; 1.8.3. Discretization into pixels or voxels, and algebraic inversion; 1.9. Standard deterministic methods; 1.9.1. Matched filter or back-projection solution 1.9.2. Inverse solution in the classical sense1.9.3. Minimum-norm solution; 1.9.4. Least-squares solution; 1.9.5. The regularized solution; 1.9.6. Finding an inverse operator; 1.10. Probabilistic methods; 1.10.1. Bayesian estimation approach; 1.11. Problems specific to vision; 1.12. Introduction to the various chapters of the book; 1.12.1. Noise removal and contour detection; 1.12.2. Blind image deconvolution; 1.12.3. Triplet Markov chains and image segmentation; 1.12.4. Detection and recognition of a collection of objects in a scene; 1.12.5. Apparent motion estimation and visual tracking 1.12.6. Super-resolution1.12.7. Tomographic surface reconstruction; 1.12.8. Gauss-Markov-Potts prior for Bayesian inversion in microwave imaging; 1.12.9. 3D reconstruction from shadows; 1.12.10. Image separation; 1.12.11. Stereo reconstruction from satellite or aerial photography; 1.12.12. Fusion and multimodality; 1.13. Bibliography; Chapter 2. Noise Removal and Contour Detection; 2.1. Introduction; 2.1.1. Boolean line process models; 2.1.2. Half-quadratic regularization; 2.1.3. Comments; 2.1.4. Constraints on the contour variables; 2.1.5. Regularization of intensity and region segmentation 2.2. Statistical segmentation of noisy images2.2.1. Noise models; 2.2.2. Multiplicative noise in sonar and radar imagery; 2.2.3. Independent Gaussian noise; 2.2.4. Correlated Gaussian noise; 2.2.5. Generalized Gaussian noise; 2.3. Multi-band multi-scale Markovian regularization; 2.3.1. Bayesian inference; 2.3.2. Cost function; 2.3.3. Hierarchical Markovian models; 2.3.4. Markovian quad-tree; 2.3.5. Missing or erroneous data; 2.4. Bibliography; Chapter 3. Blind Image Deconvolution; 3.1. Introduction; 3.2. The blind deconvolution problem; 3.2.1. Ill-posed problem (multiple solutions) 3.2.2. Constraints and models for the point spread function |
| Record Nr. | UNINA-9910840555403321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko
| Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko |
| Autore | Martyshko P. S (Petr Sergeevich) |
| Edizione | [Reprint 2014] |
| Pubbl/distr/stampa | Utrecht, The Netherlands : , : VSP, , 1999 |
| Descrizione fisica | 1 online resource (127 pages) : illustrations |
| Disciplina | 538/.72/0151 |
| Collana | Inverse and ill-posed problems series |
| Soggetto topico |
Electromagnetic fields - Mathematics
Geophysics - Mathematics Inverse problems (Differential equations) Integral equations - Numerical solutions |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-094328-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Introduction -- Chapter 1. Two-dimensional problems of a magnetic exploration method involving artificial field magnetization and electric exploration by a direct current -- Chapter 2. The effective algorithms of solution of direct and inverse three-dimensional problems of magnetic exploration taking account of demagnetization -- Chapter 3. Mathematical theory and algorithms of the solution of three-dimensional inverse problems of electric exploration with a direct current -- Chapter 4. Explicit equations for inverse problems of electromagnetic field -- Bibliography |
| Record Nr. | UNINA-9910463705403321 |
Martyshko P. S (Petr Sergeevich)
|
||
| Utrecht, The Netherlands : , : VSP, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko
| Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko |
| Autore | Martyshko P. S (Petr Sergeevich) |
| Edizione | [Reprint 2014] |
| Pubbl/distr/stampa | Utrecht, The Netherlands : , : VSP, , 1999 |
| Descrizione fisica | 1 online resource (127 pages) : illustrations |
| Disciplina | 538/.72/0151 |
| Collana | Inverse and ill-posed problems series |
| Soggetto topico |
Electromagnetic fields - Mathematics
Geophysics - Mathematics Inverse problems (Differential equations) Integral equations - Numerical solutions |
| ISBN | 3-11-094328-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Introduction -- Chapter 1. Two-dimensional problems of a magnetic exploration method involving artificial field magnetization and electric exploration by a direct current -- Chapter 2. The effective algorithms of solution of direct and inverse three-dimensional problems of magnetic exploration taking account of demagnetization -- Chapter 3. Mathematical theory and algorithms of the solution of three-dimensional inverse problems of electric exploration with a direct current -- Chapter 4. Explicit equations for inverse problems of electromagnetic field -- Bibliography |
| Record Nr. | UNINA-9910788954803321 |
|
Martyshko P. S (Petr Sergeevich)
|
||
| Utrecht, The Netherlands : , : VSP, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko
| Inverse problems of electromagnetic geophysical fields / / P.S. Martyshko |
| Autore | Martyshko P. S (Petr Sergeevich) |
| Edizione | [Reprint 2014] |
| Pubbl/distr/stampa | Utrecht, The Netherlands : , : VSP, , 1999 |
| Descrizione fisica | 1 online resource (127 pages) : illustrations |
| Disciplina | 538/.72/0151 |
| Collana | Inverse and ill-posed problems series |
| Soggetto topico |
Electromagnetic fields - Mathematics
Geophysics - Mathematics Inverse problems (Differential equations) Integral equations - Numerical solutions |
| ISBN | 3-11-094328-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Introduction -- Chapter 1. Two-dimensional problems of a magnetic exploration method involving artificial field magnetization and electric exploration by a direct current -- Chapter 2. The effective algorithms of solution of direct and inverse three-dimensional problems of magnetic exploration taking account of demagnetization -- Chapter 3. Mathematical theory and algorithms of the solution of three-dimensional inverse problems of electric exploration with a direct current -- Chapter 4. Explicit equations for inverse problems of electromagnetic field -- Bibliography |
| Record Nr. | UNINA-9910809297803321 |
|
Martyshko P. S (Petr Sergeevich)
|
||
| Utrecht, The Netherlands : , : VSP, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others]
| Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others] |
| Autore | Lavrent'ev Mikhail M. |
| Edizione | [Reprint 2012] |
| Pubbl/distr/stampa | Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 515.357 |
| Collana | Inverse and Ill-Posed Problems Series |
| Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-091552-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Introduction -- Chapter 1. Some physical motivations of inverse problems -- Chapter 2. Approximate methods of solution of ill-posed problems -- Chapter 3. Integral geometry problems -- Chapter 4. One dimensional inverse problems -- Chapter 5. Inverse problems for the coupled Maxwell and Lamé systems -- Chapter 6. Numerical solution of inverse problems: some examples -- Bibliography |
| Record Nr. | UNINA-9910464113603321 |
|
Lavrent'ev Mikhail M.
|
||
| Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others]
| Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others] |
| Autore | Lavrent'ev Mikhail M. |
| Edizione | [Reprint 2012] |
| Pubbl/distr/stampa | Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 515.357 |
| Collana | Inverse and Ill-Posed Problems Series |
| Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
| Soggetto non controllato |
Applications
Inverse Problems Mathematical Physics Numerical Experiments Numerical Methods |
| ISBN | 3-11-091552-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Introduction -- Chapter 1. Some physical motivations of inverse problems -- Chapter 2. Approximate methods of solution of ill-posed problems -- Chapter 3. Integral geometry problems -- Chapter 4. One dimensional inverse problems -- Chapter 5. Inverse problems for the coupled Maxwell and Lamé systems -- Chapter 6. Numerical solution of inverse problems: some examples -- Bibliography |
| Record Nr. | UNINA-9910789099203321 |
|
Lavrent'ev Mikhail M.
|
||
| Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others]
| Inverse problems of mathematical physics / / M. M. Lavrentiev [and three others] |
| Autore | Lavrent'ev Mikhail M. |
| Edizione | [Reprint 2012] |
| Pubbl/distr/stampa | Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 515.357 |
| Collana | Inverse and Ill-Posed Problems Series |
| Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
| Soggetto non controllato |
Applications
Inverse Problems Mathematical Physics Numerical Experiments Numerical Methods |
| ISBN | 3-11-091552-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- Introduction -- Chapter 1. Some physical motivations of inverse problems -- Chapter 2. Approximate methods of solution of ill-posed problems -- Chapter 3. Integral geometry problems -- Chapter 4. One dimensional inverse problems -- Chapter 5. Inverse problems for the coupled Maxwell and Lamé systems -- Chapter 6. Numerical solution of inverse problems: some examples -- Bibliography |
| Record Nr. | UNINA-9910823417703321 |
|
Lavrent'ev Mikhail M.
|
||
| Utrecht, Netherlands ; ; Boston, [Massachusetts] : , : VSP, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
