INTERNATIONAL FINANCE | |||||
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 | Fall | 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) | To correctly identify the problems and to be able to ask the correct questions | 2 |
2) | To have the ability for problem solving and to utilize analytical approach in dealing with the problems of finance | 1 |
3) | To understand and grasp the full details of theoretical arguments and counter arguments | 2 |
4) | To be fully prepared for a graduate study in finance and to have lifelong learning awareness | 2 |
5) | To be able to apply theoretical principles of finance to the realities of practical business life | 1 |
6) | To develop solutions for managerial problems by understanding the requirements of international financial markets | 2 |
7) | To think innovatively and creatively in complex situations | 3 |
8) | To be able to make decisions both locally and internationally by knowing the effects of globalization on business and social life | 2 |
9) | To have the competencies of the digital age and to use the necessary financial applications | 2 |
10) | To be able to use at least one foreign language both for communication and academic purposes | 1 |
11) | To understand the importance of business ethics and to take decisions by knowing the legal and ethical consequences of their activities in the academic world and business life | 2 |
12) | To develop an objective criticism in business and academic life and having a perspective to self-criticize | 2 |