| 1 |
Introduction: Statistical Optics, Inverse Problems (PDF - 1.3 MB) |
| 2 |
Fourier Optics Overview (PDF - 1.4 MB) |
| 3 |
Random Variables: Basic Definitions, Moments |
| 4 |
Random Variables: Transformations, Gaussians |
| 5 |
Examples: Probability Theory & Statistics |
| 6 |
Random Processes: Definitions, Gaussian, Poisson |
| 7 |
Examples: Gaussian Processes |
| 8 |
Random Processes: Analytic Representation |
| 9 |
Examples: Complex Gaussian Processes |
| 10 |
1st-Order Light Statistics |
| 11 |
Examples: Thermal & Laser Light |
| 12 |
2nd-Order Light Statistics: Coherence |
| 13 |
Example: Integrated Intensity |
| 14 |
The van Cittert-Zernicke Theorem |
| 15 |
Example: Diffraction From An Aperture |
| 16 |
The Intensity Interferometer
Speckle (PDF - 2.4 MB) |
| 17 |
Examples: Stellar Interferometer, Radio Astronomy,
Optical Coherence Tomography |
| 18 |
Effects of Partial Coherence on Imaging |
| 19 |
Information Theory: Entropy, Mutual Information (PDF) |
| 20 |
Example: Gaussian Channels |
| 21 |
Convolutions, Sampling, Fourier Transforms
Information-Theoretic View of Inverse Problems (PDF) |
| 22 |
Imaging Channels
Regularization |
| 23 |
Inverse Problem Case Study: Tomography
Radon Transform, Slice Projection Theorem |
| 24 |
Filtered Backprojection |
| 25 |
Super-Resolution and Image Restoration |
| 26 |
Information-Theoretic Performance of Inversion Methods |
