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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Image Processing (PGEE11021)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryStudents study elements of image processing theory and application through the application of signal processing techniques. The syllabus of the course is:
1. Introduction: Basic concepts of vision and images.
2. Image transforms: SVD, Haar, Walsh, Fourier and derived methods.
3. Statistical description of images, including the Karhunen-Loeve Transform.
4. Image enhancement: Filters, Removing noise and interference, Histogram manipulation.
5. Image restoration: including inverse and Wiener filters.
6. Image segmentation and edge detection.
7. Image processing for multispectral images.
Course description Lectures and tutorials
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Formative Assessment Hours 1, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 62 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) 100% closed-book formal written examination
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Image Processing2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. The students will understand and apply the fundamental techniques and algorithms behind multiple image processing applications. By the end of this module, the students should be able to:
  2. Understand how signal processing techniques generalise from univariate signals to images.
  3. Recall a range of techniques and algorithms for image processing.
  4. Demonstrate critical knowledge of commonly use image processing techniques, being able to discuss their advantages and disadvantages in specific applications.
  5. Apply analytically the key techniques for image transformation, enhancement, restoration and segregation to simple images.
Reading List
Maria Petrou and Costas Petrou, Image Processing: The fundamentals, 2nd Edition, Wiley, 2010

"Digital Image Processing", 3rd Ed, by Gonzalez & Woods,
ISBN-10: 0132345633, ISBN-13: 9780132345637
Additional Information
Graduate Attributes and Skills Not entered
Keywordsimage signal processing,feature extraction,segmentation and classification,transforms
Contacts
Course organiserDr Javier Escudero Rodriguez
Tel: (0131 6)50 5599
Email: Javier.Escudero@ed.ac.uk
Course secretaryMiss Megan Inch
Tel: (0131 6)51 7079
Email: M.Inch@ed.ac.uk
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