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Advances in imaging and electron physics. Volume 145 /

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. This series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Hawkes, P. W.
Format: Electronic eBook
Language:Inglés
Published: San Diego : Academic Press, 2007.
Series:Advances in imaging and electron physics
Subjects:
Online Access:Texto completo
Table of Contents:
  • Cover; Copyright page; Contents; Contributors; Preface; Future Contributions; Chapter 1. Applications of Noncausal Gauss-Markov Random Field Models in Image and Video Processing; I. Introduction; II. Terminology; III. Potential Matrix; IV. Rauch-Tung-Striebel Smoothing for Image Restoration; V. Video Compression; VI. Inversion Algorithms for Block Banded Matrices; VII. Conclusions; References; Chapter 2. Direct Electron Detectors for Electron Microscopy; I. Introduction; II. Detectors-General Introduction; III. Film; IV. CCDs; V. Direct Electron Semiconductor Detectors
  • VI. Monte Carlo SimulationsVII. Hybrid Pixel Detectors, Medipix1, and Medipix2; VIII. MAPS Detectors Based on CMOS; XIX. Conclusions; Acknowledgments; References; Chapter 3. Exploring Third-Order Chromatic Aberrations of Electron Lenses with Computer Algebra; I. Introduction; II. Variational Function and Its Approximations; III. Chromatic Perturbation Variational Function and Its Approximations; IV. Analytical Derivation of Third-Order Chromatic Aberration Coefficients; V. Graphical Display of Third-Order Chromatic Aberration Patterns
  • VI. Numerical Calculation of Third-Order Chromatic Aberration CoefficientsVII. Conclusions; Acknowledgments; Appendix; References; Chapter 4. Anisotropic Diffusion Partial Differential Equations for Multichannel Image Regularization: Framework and Applications; Preliminary Notations; I. Introduction; II. PDE-Based Smoothing of Multivalued Images: A Review; III. Curvature-Preserving PDEs; IV. Implementation Considerations; V. Applications; VI. Conclusion; Appendix A; Appendix B; Appendix C; References; Index