ems5aci advanced signal and image processing
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.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorDennis Deng
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
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
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Digital signal processing A computer-based approach
Resource TypeBook
Resource RequirementRecommended
AuthorS. Mitra
Year2006
Edition/VolumeN/A
PublisherMcGraw Hill
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Introduction to digital image processing
Resource TypeBook
Resource RequirementRecommended
AuthorW.K. Pratt
Year2013
Edition/VolumeN/A
PublisherCRC press
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Digital Image Processing using MATLAB
Resource TypeBook
Resource RequirementRecommended
AuthorR. C. Gonzalez, R. E. Woods, S. L. Eddins
Year2009
Edition/VolumeN/A
PublisherPearson-Prentice-Hall
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Computer Vision: Algorithms and Applications
Resource TypeBook
Resource RequirementRecommended
AuthorR. Szeliski
Year2011
Edition/VolumeN/A
PublisherSpringer
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
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