Introduction to Image Processing
| Code | School | Level | Credits | Semesters |
| COMP2032 | Computer Science | 2 | 10 | Spring Malaysia |
- Code
- COMP2032
- School
- Computer Science
- Level
- 2
- Credits
- 10
- Semesters
- Spring Malaysia
Summary
This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision. You’ll cover topics including: image processing and its applications; fundamentals of digital images; digital image processing theory and practice; and applications of image processing. You’ll spend around three hours in lectures and computer classes each week for this module.
Target Students
Available to Level 2 students in the School of Computer Science.Available to inter-campus mobility students and other exchange students in computer science. This module is not available to students not listed above, without explicit approval from the module convenor(s). This module is part of the Artificial Intelligence, Modelling and Optimisation theme in the School of Computer Science.This module is part of the AI, Modelling and Optimisation theme in the School of Computer Science.Available to JYA/Erasmus students
Classes
- One 2-hour lecture each week for 12 weeks
- One 1-hour computing each week for 12 weeks
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester Further Activity Details: Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Assessment
- 100% Coursework 1: 1) A group coursework consisting of an application creation, supported with a 2000 word report2) in-classroom exams
Educational Aims
To introduce the fundamentals of digital image processing theory and practice. To gain practical experience in writing programs for manipulating digital images. To lay the foundation for studying advanced topics in related fields.Learning Outcomes
Knowledge and understanding
● Experience implementing programs that manipulate images
● Understanding fundamental techniques in image processing and analysis, and their limitations
● Appreciation of the underlying mathematical principles of the field.
Intellectual Skills
● Apply knowledge of image processing techniques to particular tasks
● Evaluate different techniques in the context of image manipulation and processing
Professional Skills
● Evaluate the applicability of various algorithms and operators to particular tasks
Transferable Skills
● Address real problems and assess the value of their proposed solutions, retrieve and analyse information from a variety of sources and produced detailed written reports on the result to support the United Nations Sustainable Development Goals (SDGs)
Conveners
- Dr Tissa Chandesa