Introduction to image processing

The aim of this course is to familiarize students with digital image processing, its concepts, basic methods and applications.

Signal processing, Fourier transform.

1. General image information. 2. Color image representation. 3. Transformations used in image processing. 4. Image enhancement. 5. Spatial and frequency filtering. 6. Non-linear image processing techniques. 7. Geometric image transformations. 8. Mathematical morphology. 9. Segmentation. 10. Image synthesis and processing in Matlab.
2. Applications : -Chroma-keying, Detangling, Derivative filters

Course handout, integrated Matlab course handout.