Nonlinear inverse problems in imaging / Jin Keun Seo, Eung Je Woo.
Material type:
- 9780470669426 (hardback)
- 621.3670151 23 Se478
- TA1637 .S375 2013
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 621.3670151 Se478 (Browse shelf(Opens below)) | Available | 134790 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
621.3670151 B623 Bezier and splines in image processing and machine vision | 621.3670151 C397 Inverse problems and imaging | 621.3670151 H716 Mathematics of digital images | 621.3670151 Se478 Nonlinear inverse problems in imaging / | 621.36701511313 B885 Fuzzy logic-based algorithms for video de-interlacing | 621.36701511322 C434 Fuzzy image processing and applications with MATLAB/ | 621.36701511322 C434 Fuzzy image processing and applications with MATLAB/ |
Includes bibliographical references and index.
"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"--
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