ADVANCED SIGNAL AND IMAGE PROCESSING
EMS5ACI
Not currently offered
Credit points: 15
Subject outline
This subject will cover the fundamentals of discrete signal and systems, basic image processing techniques in spatial domain and transform domain, and advanced topics such as wavelet-based image processing and compression, and edge-aware filtering. After completing this subject students will have advanced and integrated understanding of these topics and skills in some state-of-art techniques. Students will be able to research or apply established theories to practical problems such as image enhancement and feature extraction.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: Dennis Deng
Available to Study Abroad Students: No
Subject year level: Year Level 5 - Masters
Exchange Students: No
Subject particulars
Subject rules
Prerequisites: Students must be admitted in one of the following courses: SMENE, SMENEB, SMELE, SMTNE or LMEM
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Digital Image Processing using MATLAB | Recommended | R. C. Gonzalez, R. E. Woods, S. L. Eddins, 2009 | Pearson-Prentice-Hall |
| Readings | Computer Vision: Algorithms and Applications | Recommended | R. Szeliski, 2011 | Springer |
| Readings | Introduction to digital image processing | Recommended | W.K. Pratt, 2013 | CRC press |
| Readings | Digital signal processing A computer-based approach | Recommended | S. Mitra, 2006 | McGraw Hill |
Graduate capabilities & intended learning outcomes
01. Demonstrate deep understanding of the fundamental principles in digital signal processing
- Activities:
- Lecture, assignments
02. Demonstrate specialised and in-depth knowledge in image processing by applying knowledge to practical applications.
- Activities:
- Lecture, laboratory class
03. Produced specialised MATLAB functions for advanced image processing building on existing algorithms and further developing new algorithms
- Activities:
- Laboratory class
04. Critically analyse, evaluate and synthesise fundamental concepts and recent advances in image processing for application to complex problems
- Activities:
- Lecture and assignments