Course Title and Code
Digital Image Processing (EE5005)
Programme
B.Tech/MS/M.Tech/PhD
Course Credit
2-0-1-3 (Lecture-Tutorial-Practical-Total Credits)
Course Category
ERC
Prerequisite
Exposure to Signals and Systems/Digital Signal Processing will be an advantage.
Consent of Teacher
Required
Learning Objectives
This course provides a thorough understanding of the fundamentals, implementation, and applications of Digital Image Processing (DIP) techniques including acquisition and formation, enhancement, segmentation, and representation of images.
Learning Outcomes
- Understand the merits of digital image processing (DIP) and appreciate its real-world applications.
- Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, processing, and displaying the images.
- Be familiar with the mathematical description of image processing techniques and know how to go from the algorithms to implementation.
Course Content
| S/N | Topic | Lecture (hours) |
|---|---|---|
| 1 | Digital Image Fundamentals | 8 |
| 2 | Image Enhancements | 11 |
| 3 | Colour Image Processing | 3 |
| 4 | Morphological Image Processing | 3 |
| 5 | Image Segmentation | 8 |
| 6 | Image Restoration | 4 |
| 7 | Stereo Image Processing | 4 |
| 8 | Applications of Image Processing | 7 |
Teaching Methodology
Classroom lectures
Assessment Methods
Written examination, Quiz Test, Simulation Assignment
Text Books
- Digital Image Processing, Gonzalez, Rafael C and P. Wintz, Addison-Wesley Publishing Company, ISBN-13: 978-0131687288.
- Digital Image Processing, Pratt, William K, College Edition. Wiley, 2017. ISBN-13: 978-0471767770.
Reference Books
- Fundamentals of Digital Image Processing, Jain, Anil K, Englewood Cliffs, NJ: Prentice Hall, ISBN-13: 978-8120309296.
- The Essential Guide to Image Processing, Bovik, Alan C, Academic Press, 2009. ISBN-13: 978-0123744579.