Digital Image Processing

Course ID:  M6701R97

Credits: 3

Objective: To learn techniques of image processing, the principal approaches used in the digital image processing and their applications to related fields. In addition to understanding the basic principles, techniques and applications of image processing from the course, students can also learn and propose solutions to practical image processing problems through group learning, data collection, group discussions, and analysis. In addition, students can choose to study imaging topics individually or in groups, verify theoretical learning through simulation practice, and develop the ability to actively learn and solve practical problems.

Course Prerequisites:  None

Outline:

1. Introduction 

2. Digital Image Fundamentals 

3. Image Enhancement in the Spatial Domain 

4. Image Enhancement in the Frequency Domain 

5. Image Restoration 

6. Color Image Processing 

7. Morphological Image Processing 

8. Project report and discussion

Teaching Method:  Teaching with slides by the lecturer

Reference:  

Textbook: 

Digital Image Processing 4/e, by Gonzalez & Woods 

Reference book: 

1. Digital Image Processing Using MATLAB, by Gonzalez & Woods 

2. Introduction to Digital Image Processing with MATLAB, by Aladair Mcandarw