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Image Processing (ELEN90076)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 |
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Fees | Look up fees |
Images and visual information are integral parts of our daily lives. Image processing plays an important role in various practical applications among them: television, medical imaging modalities such as X-ray or ultrasound, photography, security, astronomy and remote sensing. This subject will introduce the fundamentals of image and video processing and manipulation. While image applications will be used for illustrations, the subject emphasizes on general principles of image processing rather than specific applications.
This subject will cover the following topics:
introduction to image processing, image acquisition and display, image perception, colour representations, image sampling, quantization and image quality measurement, point operations, linear image filtering and correlation, image transforms and sub-band decompositions, contrast and colour enhancement, eigenimages, image segmentation, image restoration, image compression, patch image analysis, video coding and analysis.
Intended learning outcomes
2. Describe the basic theory and algorithms that are widely used in image processing
Generic skills
Upon completion of this subject, students will have developed the following skills:
- Ability to apply knowledge of science and engineering principles to image and video related problems;
- Ability to undertake image and video problem identification and formulate solutions;
- Capacity for independent critical thought, rational inquiry and self-directed learning;
- Develop work collaboration and communication skills.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Enrolment in Master of Engineering (Electrical or Electrical with Business) and completion of the following subjects:
Code
Name
Teaching period
Credit Points
ELEN90054
Probability and Random Models
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
12.5
ELEN30012
Signals and Systems
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
12.5
OR
Enrolment in a research higher degree (MPhil or PhD) in Engineering (subject to approval from the Subject Coordinator).
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Semester 2
Description | Timing | Percentage |
---|---|---|
Applied research project will be carried out from week 3 to 10. The students will be divided in groups of two and each research project will require a written assignment per group, a Matlab demonstration and a presentation to the class. (Approximately 35-40 hours of work per student). ILOs 1-7 are addressed in these projects.
| Week 11 | 30% |
A three-hour written examination. ILOs 1-7 are addressed in this exam.
| During the examination period | 70% |
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Karim Seghouane Mode of delivery On Campus (Parkville) Contact hours 200 hours Total time commitment 200 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
None
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Ph.D.- Engineering - Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022