ems5aci advanced signal and image processing
ADVANCED SIGNAL AND IMAGE PROCESSING
EMS5ACI
2019
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.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorDennis Deng
Available to Study Abroad StudentsNo
Subject year levelYear Level 5 - Masters
Exchange StudentsNo
Subject particulars
Subject rules
Prerequisites Students must be admitted in one of the following courses: SMENE, SMENEB, SMELE, SMTNE or LMEM
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/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
Subject options
Select to view your study options…
Bendigo, 2019, Semester 1, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorDennis Deng
Class requirements
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Laboratory ClassWeek: 11 - 21
One 2.0 hours laboratory class per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.
TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Comments | % | ILO* |
---|---|---|---|
Four written assignments (250 words each - total 1000 words) | 20 | 01, 04 | |
Four 15-minute laboratory class tests (equivalent to 250 words each - total 1000 words) | Conducted at the conclusion of each laboratory task | 20 | 02, 03 |
1-hour mid-semester test (equivalent to 1000 words) | 20 | 01, 02 | |
2-hour exam (equivalent to 2000 words) | 40 | 01, 02 |
Melbourne, 2019, Semester 1, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorDennis Deng
Class requirements
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Laboratory ClassWeek: 11 - 21
One 2.0 hours laboratory class per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.
TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Comments | % | ILO* |
---|---|---|---|
Four written assignments (250 words each - total 1000 words) | 20 | 01, 04 | |
Four 15-minute laboratory class tests (equivalent to 250 words each - total 1000 words) | Conducted at the conclusion of each laboratory task | 20 | 02, 03 |
1-hour mid-semester test (equivalent to 1000 words) | 20 | 01, 02 | |
2-hour exam (equivalent to 2000 words) | 40 | 01, 02 |