Statistical Image Processing and Multidimensional Modeling

1. Introduction
Paul Fieguth

2. Inverse Problems
Paul Fieguth

3. Static Estimation and Sampling
Paul Fieguth

4. Dynamic Estimation and Sampling
Paul Fieguth

5. Multidimensional Modelling
Paul Fieguth

6. Markov Random Fields
Paul Fieguth

7. Hidden Markov Models
Paul Fieguth

8. Changes of Basis
Paul Fieguth

9. Linear Systems Estimation
Paul Fieguth

10. Kalman Filtering and Domain Decomposition
Paul Fieguth

11. Sampling and Monte Carlo Methods
Paul Fieguth

12. Algebra
Paul Fieguth

13. Statistics
Paul Fieguth

14. Image Processing
Paul Fieguth

Keywords: Statistics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability and Statistics in Computer Science, Probability Theory and Stochastic Processes, Image Processing and Computer Vision, Signal, Image and Speech Processing