Introduction to Image Processing
| Code | School | Level | Credits | Semesters |
| COMP2047 | School of Computer Science | 2 | 10 | Spring China |
- Code
- COMP2047
- School
- School of Computer Science
- Level
- 2
- Credits
- 10
- Semesters
- Spring China
Summary
Prerequisites: COMP1046 Mathematics for Computer Scientists or equivalent maths.
This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision. You will cover topics including: image processing and its applications; fundamentals of digital images; digital image processing theory and practice; and applications of image processing. You will spend around three hours in lectures and computer classes each week for this module.
Target Students
Part I undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor.This module is part of the AI, Modelling and Optimisation theme in the School of Computer Science.
Classes
- One 2-hour lecture each week for 12 weeks
- One 2-hour computing each week for 12 weeks
Assessment
- 40% Coursework 1: 2000 word Programming assignment/report
- 60% Exam 1 (1-hour): one hour written examination
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.
Conveners
- Dr Jianfeng Ren