CourseSpecifications
Valid as from the academic year 2024-2025

Image Processing (E010310)

Course size
Credits 6.0(nominal values; actual values may depend on programme)
Study time 180 h

Course offerings and teaching methods in academic year 2024-2025
A (semester 1)
Dutch
Gent
Lecturers in academic year 2024-2025
Philips, Wilfried
Goossens, Bart

lectureTW07
TW07

lecturer-in-charge
co-lecturer

Offered in the following programmes in 2024-2025
crdts
Master of Science in Electrical Engineering (main subject Communication and Information 6Technology )Master of Science in Electronics and ICT Engineering Technology(main subject Electronics
6Engineering)
Master of Science in Electronics and ICT Engineering Technology(main subject Embedded6Systems)
Master of Science in Electronics and ICT Engineering Technology(main subject ICT)
6Master of Science in Computer Science
6
Master of Science in Computer Science Engineering
6
Exchange Programme Electronics and ICT Engineering Technology
6offeringAAA
A
AA
A

Teaching languages
Dutch
Keywords
color, restauration, compression, analysis
Position of the course
This course is an introductory course and presents an overview of image processing
techniques and applications, rather than a detailed mathematical description and technicaldetails of the algorithms.
To present an overview of the most important phenomena and techniques in digital image andvideo processing: image perception, image acquisition and display, image restoration, andprimitive operations for image and video analysis. To present some examples of industrial
applications of image processing and some important developments in image processing
research. To allow the students to experiment with image processing algorithms.
Contents• Overview: Overview and applications of image processing• Image perception, representation and reproduction: Image perception by humans, cameras• and display systems, Sampling and colour representation• Image restoration techniques: grey-scale and colour modification, linear filter techniques for• noise suppression and edge enhancement, non-linear filter techniques• Image models: Stochastic image models, Linear image transforms• Image restauration: Wiener and (pseudo-) inverse filtering, regularisation, Restauration in the• wavelet domain• Primitives for image analysis: Segmentation, Edge detection, Morphological image• processing, ...
• Video processing: Video representation, Video restauration• Applications of computer vision• Project: Introduction project, Computer project on one or of the course topics(Approved)

1Initial competences
None required
Final competences
1 Having knowledge of cameras, display systems and image compression standards.
2 Having insight in techniques for image and video restauration, compression and analysis.
Conditions for credit contract
Access to this course unit via a credit contract is determined after successful competences assessment
Conditions for exam contract
This course unit cannot be taken via an exam contract
Teaching methods
LectureStudy material
Type: Syllabus
Name: Lecture Notes Digital Image Processing
Indicative price: € 12
Optional: yes
Language : EnglishNumber of Pages : 200
Oldest Usable Edition : 2023-2024
Available on Ufora : No
Online Available : No
Available in the Library : No
Available through Student Association : No
Additional information: The syllabus is intended to clarify, supplement, and deepen the presentations, but is not
additional study material.
References• W.K. Pratt. Digital Image Processing. John Wiley, 2001. ISBN 0-471-37407-5• R. Klette and P. Zamperoni. John Wiley, 1996.
• Handbook of image processing operators. ISBN 0-471-95642-2.
• R.C. Gonzalez and R.E. Woods. Digital Image Processing. Addison-Wessley, 3 edition,• 1992. ISBN 0201508036.
• C.A. Poynton. Frequently asked questions about color, 1997. http://www.inforamp.
• net/~poynton/Poynton-color.html.
• C.A. Poynton. Frequently asked questions about gamma, 1998. http://www.inforamp.
• net/~poynton/GammaFAQ.html.
• J.C. Russ. The Image processing handbook. IEEE Press, 3 edition, 1998. ISBN 0849325323.
• The color FAQ. http://www.inforamp.net/~poynton/ColorFAQ.html.
• Frequently asked questions about gamma. http://www.inforamp.net/~poynton/GammaFAQ.
• htmlCourse content-related study coaching
Assessment moments
end-of-term and continuous assessment
Examination methods in case of periodic assessment during the first examination period
Written assessment
Examination methods in case of periodic assessment during the second examination period
Written assessment
Examination methods in case of permanent assessment
Assignment
Possibilities of retake in case of permanent assessment
examination during the second examination period is not possible
Extra information on the examination methods
During examination period: written closed-book exam
During semester: graded project reports. Second chance: Not possible
Frequency: one time project(Approved)2

Calculation of the examination markEvaluation throughout semester as well as during examination period. Special conditions: Theend grade is a weighted average of the grades of the project (1/3) and the exam (2/3), unlessthe project grade is below 8. In the latter case, the final grade equals minimum(exam grade,project grade-2).

(Approved)3