Inverse Problems, Tomography, and Image Processing

Softcover Nachdruck of the original 1. Auflage 1998
ISBN: 978-1-4899-1900-7
Verlag: Springer US

Buch, Englisch, 258 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g

Edge-Preserving Regularization for Quantitative Reconstruction Algorithms in Microwave Imaging. 113.

Zielgruppe

Research

Autoren/Hrsg.

Ramm, Alexander G.

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

1. Inverse Acoustic Scattering by a Layered Obstacle.- 2. Scalar and Vector Backpropagation Applied to Shape Identification from Experimental Data: Recent Results and Open Problems.- 3. Sampling in Parallel-Beam Tomography.- 4. Multidimensional Inverse Scattering Problem with Non-Reflecting Boundary Conditions.- 5. Local Tomography with Nonsmooth Attenuation II.- 6. Inverse Problems of Determining Nonlinear Terms in Ordinary Differential Equations.- 7. Complex Daubechies Wavelets: Filters Design and Applications.- 8. Edge-Preserving Regularization for Quantitative Reconstruction Algorithms in Microwave Imaging.- 9. On S. Saitoh’s Characterization of the Range of Linear Transforms.- 10. Wavelet Modelling of Clinical Magnetic Resonance Tomography: An Ensemble Quantum Computing Approach.- 11. Ray Transform of Symmetric Tensor Fields for a Spherically Symmetric Metric.- 12. Reducing Noise in Images by Forcing Monotonic Change Between Extrema.- 13. Applied Nonlinear Ill-Posed Problems and the Variational Approach for Constructing of Regularizing Algorithms.- 14. Inverse Problem for Differential Equations System of Electromagnetoelasticity in Linear Approximation.- 15. On an Inverse Problem of Determining Source Terms in Maxwell’s Equations with a Single Measurement.