Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5541 Introduction to Digital Image and Video Processing Fall 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ZAFER İŞCAN
Recommended Optional Program Components: None
Course Objectives: This is an introductory course on digital image and video processing designed for graduate students and senior level undergraduate students. The objectives of the course are as follows: To introduce the student to theoretical foundations in Digital Image and Video Processing; to introduce the student to modern applications in Digital Image and Video Processing; to give students a hands-on experience about image and video processing using extensive simulation assignments (mostly using MATLAB); to give students an ability to solve complex engineering problems, that require image and video processing.

Learning Outcomes

The students who have succeeded in this course;
1.Discuss the main processes and problems of image and video formation and reproduction
2.Describe image and video sampling and quantization.
3.Apply functions Image Processing Toolbox in MATLAB to image and video processing problems.
4.Define and compute apply geometric transformations on images.
5.Describe and apply gray level transformations and frequency domain filtering on images and video.
6.Discuss and apply image restoration, morphological image processing, and image segmentation
7.Apply basic image compression and feature extraction approaches.
8.Describe video sampling rate and standards conversion
9.Explain motion estimation, and video enhancement methods.

Course Content

Introduction and overview; Human Visual System,
Image Formation; Image Processing Basics; MATLAB Basics;
Image Processing Toolbox; Image Sensing and Acquisition;
Arithmetic and Logic Operators; Geometric Operators;
Gray-level Transformations; Histogram Processing;
Neighborhood Processing; Frequency Domain Filtering;
Image Restoration; Morphological Image Processing;
Edge Detection; Image Segmentation; Color Image Processing;
Image Compression and Coding; Feature Extraction and Representation, Visual Pattern Recognition; Video Fundamentals, Video Standards, Video Standards Conversion,
Motion Estimation and video enhancement

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction and overview, Human Visual System, Image Formation
2) Image Processing Basics, MATLAB Basics
3) MATLAB Image Processing Toolbox, Image Sensing and Acquisition
5) Gray-level Transformations, Histogram Processing
7) Edge Detection, Image Segmentation
8) Image Segmentation, Midterm Exam
9) Image Restoration, Morphological Image Processing
10) Color Image Processing
11) Image Compression and Coding
12) Feature Extraction and Representation, Visual Pattern Recognition
13) Video Fundamentals, Video Standards, Video Standards Conversion
14) Motion Estimation and video enhancement


Course Notes / Textbooks: Practical Image and Video Processing Using MATLAB, Oge Marques, Wiley, 2011, ISBN: 978111093467.

References: Video Processing and Communications, by Yao Wang, Joern Ostermann, and Ya-Qin Zhang, Prentice Hall, 2002, ISBN 0-13-017547-1.

Digital Video Processing, by M. Tekalp, Prentice Hall, 1995, ISBN 0-13-190075-7.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 20
Project 1 % 20
Midterms 1 % 20
Final 1 % 40
Total % 100
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 5 70
Project 1 14 14
Homework Assignments 4 20 80
Midterms 1 3 3
Final 1 3 3
Total Workload 212

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
Program Outcomes Level of Contribution
1) To be able to critically interpret and discuss the theories, the concepts, the traditions, and the developments in the history of thought which are fundamental for the field of new media, journalism and communication.
2) To be able to attain written, oral and visual knowledge about technical equipment and software used in the process of news and the content production in new media, and to be able to acquire effective abilities to use them on a professional level.
3) To be able to get information about the institutional agents and generally about the sector operating in the field of new media, journalism and communication, and to be able to critically evaluate them.
4) To be able to comprehend the reactions of the readers, the listeners, the audiences and the users to the changing roles of media environments, and to be able to provide and circulate an original contents for them and to predict future trends.
5) To be able to apprehend the basic theories, the concepts and the thoughts related to neighbouring fields of new media and journalism in a critical manner.
6) To be able to grasp global and technological changes in the field of communication, and the relations due to with their effects on the local agents.
7) To be able to develop skills on gathering necessary data by using scientific methods, analyzing and circulating them in order to produce content.
8) To be able to develop acquired knowledge, skills and competence upon social aims by being legally and ethically responsible for a lifetime, and to be able to use them in order to provide social benefit.
9) To be able to operate collaborative projects with national/international colleagues in the field of new media, journalism and communication.
10) To be able to improve skills on creating works in various formats and which are qualified to be published on the prestigious national and international channels.