Lecture Notes: "Fundamentals of Image Processing
Introduction
Lecture 1. Imaging devices
Lecture 2. Elements of the theory of 2D signal processing
Lecture 3. Signal transformations and mathematical models of imaging systems
Lecture 4. Principles of signal digitization. Signal sampling
Lecture 5. Image quantization
Lecture 6. Principles of image coding
Lecture 7. Digital representation of signal transformations
Properties of DFT
Lecture 8. Orthogonal Transforms in Digital Image Processing
Lecture 9. Statistical Image and Noise Models
Lecture 10. Principles of Image Restoration Lecture 11. Image enhancement
Exercise 1. Introduction to Matlab.
Exercise 2. Signal sampling
Exercise 3. Image quantization
Exercise 4. Image coding
Exercise 5. Digital convolution ; Digital convolution demo
Exercise 6. Discrete Fourier Transforms "
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