Lecture Notes: "Digital Image Processing: Applications
Introduction
Lecture 1. Principles of Image Digitization
Lecture 2. Image Discretization
Lecture 3. Image Quantization in Image and Transform Domains
Lecture 4. Image Coding Methods
Lecture 5. Statistical Image and Noise Models
Lecture 6. Imaging Transforms
Lecture 7. Discrete Representation of Imaging Transforms
Lecture 8. Methods of Image Filtering and Resampling in Signal and Transform Domains
Lecture 9. Image Quantification: Localization, Registration, Recognition
Lecture 10. Target Location in Clutter
Lecture 11. Image Restoration and Enhancement: Linear Filters
Lecture 12. Image Restoration, Enhancement and Segmentation: Nonlinear Filters
Lecture 13. Methods of Image Perfecting and Enhancement "
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