The following handouts are provided for you to read on your own:

Lecture Slides

1. Chapter 1 - Mathematical Preliminaries [useful/brief background & notations- Ref. Jain]

2. Chapter 2 - Pixel processing [Ref. Jain and Gonzalez & Woods]

3. Chapter 3 - Image transforms [transformation, spatial filtering, histogram processing, histogram matching, edge filters - Ref. Gonzalez & Woods, Jain and Castleman] 

4. Chapter 4 - Fourier filtering, 2-D FFT preliminaries, 2-D FFT example, Sampling [Fourier transform and frequency filtering - Ref. Jain, Gonzalez & Woods and Castleman]

5. Chapter 5 - Image Restoration, Weiner filter , Noise and degradation [Nonlinear/parametric filtering - Ref. Gonzalez & Woods and Jain]
6. Chapter 6 - Wavelets [Ref. Castleman and Gonzalez & Woods]
7. Chapter 7 - Compression [Ref. Gonzalez & Woods, Jain and Castleman] 
8. Chapter 8 - Segmentation [Ref. Gonzalez & Woods, Jain and Castleman
9. Chapter 9 - Morphology [Ref. Gonzalez & Woods, and Parker]