Course Modules:

1. Introduction to Signal and Image Processing

2. Digital Signal Processing Fundamentals
- Signals and systems

- Spectrum representation and Fourier Transform

- Sampling theory

- FIR and IIR filtering

3. Two-Dimensional DSP

- 2-D signals and systems

- 2-D filters and filtering

- 2-D Discrete Fourier Transform

- 2-D Discrete Cosine Transform

4. Image Perception and Representation

- Human visual system

- Light, brightness, contrast

- Color modeling and representation

5. Point Processes

- Arithmetic and logic operations

- Histogram equalization

- Contrast stretching

6. Area Processes

- Convolutions

- Smoothing

- Sharpening

- Edge detection

7. Geometric Processes

- Interpolation

- Scaling

- Rotation

8. Digital Halftoning

- Patterning

- Dithering

- Error Diffusion

9. Image warping and morphing

- Affine transformations

- Image warping algorithms

10. Image Coding

- Quantization

- Entropy coding

- Compression standards