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 (Pre 2022)
Credit points15
Subject Co-ordinatorGuang 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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