ADVANCED SIGNAL AND IMAGE PROCESSING

EMS5ACI

2018

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

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsDigital Image Processing using MATLABRecommendedR. C. Gonzalez, R. E. Woods, S. L. Eddins, 2009Pearson-Prentice-Hall
ReadingsComputer Vision: Algorithms and ApplicationsRecommendedR. Szeliski, 2011Springer
ReadingsIntroduction to digital image processingRecommendedW.K. Pratt, 2013CRC press
ReadingsDigital signal processing A computer-based approachRecommendedS. Mitra, 2006McGraw 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

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Start date between: and    Key dates

Bendigo, 2018, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDennis Deng

Class requirements

Lecture Week: 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 Class Week: 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.

Tutorial Week: 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 elementComments% 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 task20 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, 2018, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDennis Deng

Class requirements

Lecture Week: 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 Class Week: 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.

Tutorial Week: 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 elementComments% 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 task20 02, 03
1-hour mid-semester test (equivalent to 1000 words)20 01, 02
2-hour exam (equivalent to 2000 words)40 01, 02