PSYCHOLOGY | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
EEE5541 | Introduction to Digital Image and Video Processing | Spring | 3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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. |
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. |
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 |
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. |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 4 | % 20 |
Project | 1 | % 20 |
Midterms | 1 | % 20 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. | |
2) | Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. | |
3) | Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives | |
4) | Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). | |
5) | Employ ethical sensitivity while doing assessment, research or working with groups. | |
6) | Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). | |
7) | Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. | |
8) | Attain preliminary knowledge for psychological measurement and evaluation. | |
9) | To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. | 3 |