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

Readings

Introduction to digital image processing

Resource TypeRecommended

Resource RequirementN/A

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 TypeRecommended

Resource RequirementN/A

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

Digital signal processing A computer-based approach

Resource TypeRecommended

Resource RequirementN/A

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

Computer Vision: Algorithms and Applications

Resource TypeRecommended

Resource RequirementN/A

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

01. Demonstrate deep understanding of the fundamental principles in digital signal processing
02. Demonstrate specialised and in-depth knowledge in image processing by applying knowledge to practical applications.
03. Produced specialised MATLAB functions for advanced image processing building on existing algorithms and further developing new algorithms
04. Critically analyse, evaluate and synthesise fundamental concepts and recent advances in image processing for application to complex problems

Subject options

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