Postgraduate Course: Image Processing (PGEE11021)
|School||School of Engineering
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||Students 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.
Lectures and tutorials
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2016/17, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
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
|Assessment (Further Info)
|Additional Information (Assessment)
||100% closed-book formal written examination
||Hours & Minutes
|Main Exam Diet S1 (December)||Image Processing||2:00|
On completion of this course, the student will be able to:
- 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:
- Understand how signal processing techniques generalise from univariate signals to images.
- Recall a range of techniques and algorithms for image processing.
- Demonstrate critical knowledge of commonly use image processing techniques, being able to discuss their advantages and disadvantages in specific applications.
- Apply analytically the key techniques for image transformation, enhancement, restoration and segregation to simple images.
|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
|Graduate Attributes and Skills
|Keywords||image signal processing,feature extraction,segmentation and classification,transforms
|Course organiser||Dr Javier Escudero Rodriguez
Tel: (0131 6)50 5599
|Course secretary||Miss Megan Inch
Tel: (0131 6)51 7079
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:52 am