Credit Points: 3.5

Prerequisites: Introduction to Digital Signal Processing; Random Signals and Noise .

1. Introduction: Digital Image Processing and related fields. Applications of Digital Image Processing

2. Two-dimensional signal processing in the continuous spatial and frequency domains

3. Sampling two-dimensional signals

4. Quantization

5. Two-dimensional signal processing in the discrete spatial and frequency domains

6. Unitary image transforms: DFT, Hadamard, DCT

7. The Haar transorm. Introduction to wavelets

8. Image enhancement

9. Image restoration

10. Image compression, the JPEG standard

11. Introduction to video compression

12. Reconstruction from projections. Radon transform, Introduction to Computed Tomography

13. Color representation

14. Introduction to the human visual system

Instruction mode: Lectures + Laboratory