Year
2016
Units
4.5
Contact
1 x 1-hour lecture-2 once-only
5 x 2-hour lecture-1s per semester
1 x 1-hour workshop-2 once-only
6 x 2-hour workshop-1s per semester
1 x 3-hour practical weekly
5 x 2-hour lecture-1s per semester
1 x 1-hour workshop-2 once-only
6 x 2-hour workshop-1s per semester
1 x 3-hour practical weekly
Enrolment not permitted
ENGR4761 has been successfully completed
Assumed knowledge
ENGR3721 Signal Processing or ENGR3401 Signal Processing.
Topic description
Non-linear image processing, mathematical morphology, image enhancement, edge detection, image interpolation including bilinear, MAP (Maximum A Posteriori) and other methods, frequency and spatial domain based approaches for super-resolution image reconstruction, motion estimation and analysis, optical flow, image registration, and various image processing techniques.
Educational aims
- To provide the student with knowledge of the theories and applications of image processing
- To familiarize the student with some important concepts and analytical techniques for linear and non-linear image processing
- To give the student some experience in image processing applications and research using MATLAB and other programming tools
- To familiarize the student with a broad range of operators and processing techniques for image reconstruction, filtering, enhancement, expansion, motion estimation, and other selected areas
Expected learning outcomes
At the completion of the topic, students are expected to be able to:
- Exploit a number of image processing techniques
- Design adequate, effective, efficient, and reliable image processing mechanisms
- Apply image transforms when appropriate
- Extract information from images and image sequences using suitable computer algorithms
- Attain competence on the use of MATLAB and other computer development tools for image processing research and applications
Key dates and timetable
Timetable details for 2016 are no longer published.
Sturt Rd, Bedford Park
South Australia 5042
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