1. Introduction
2. CTFT and CSFT
3. CSFT and Rep and Comb Relations
4. Optical Imaging Systems
5. Helical Scan Multislice CT and PET
6. Tomographic Reconstruction: Fourier Slice Theorem and FPB
7. FPB and Magnetic Resonance Imaging (MRI)
8. MRI Reconstruction
9. MRI and C-programming
10. C-programming
11. DTFT, DSFT, Sampling, and Reconstruction
12. 2D Reconstruction and Focal Plane Arrays
13. Sampling and Reconstruction for Focal Plane Arrays
14. FIR and IIR Filters
15. IIR Filters and Random Variables
16. Random Variables and Random Processes
17. Power Spectral Density and AR Processes
18. Eigen Signal Analysis
19. Eigen Signal Analysis and Edge Detection
20. Edge Detection and Connected Component Analysis
21. Segmentation, Clustering, and Color Vision Illusions
22. Achromatic Vision
23. Constrast, CSF, and Achromatic Image Quality Metrics
24. - Color Matching Functions
25. Color Matching Functions and Subtractive Color Systems
26. Subtractive Color Systems, Chromaticity Diagrams
27. Chromaticity Diagrams and White Point
28. White Point, Color Transforms, and sRGB
29. More Color Transformations
30. More Quality Metrics and Rate Conversion
31. Rate Conversion
32. Rate Conversion, and Image Restoration
33. Image Restoration, and Nonlinear Filtering
34. Nonlinear Filtering and M-Estimators
35. - Halftoning and Ordered Dither
36. Error Diffusion
37. Error Diffusion and RAPS
38. Entropy and Source Coding
39. Entropy and Source Coding
40. Lossy Source Coding and Rate-Distortion Theory
41. Rate-Distortion Theory
42. JPEG Image Coding

Lecture series on Digital Image Processing I from Spring 2011 by Prof. C.A. Bouman, Department of Electrical and Computer Engineering, Purdue University.