ARCHITECTURE | |||||
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) | Using the theoretical/conceptual and practical knowledge acquired for architectural design, design activities and research. | |
2) | Identifying, defining and effectively discussing aesthetic, functional and structural requirements for solving design problems using critical thinking methods. | |
3) | Being aware of the diversity of social patterns and user needs, values and behavioral norms, which are important inputs in the formation of the built environment, at local, regional, national and international scales. | |
4) | Gaining knowledge and skills about architectural design methods that are focused on people and society, sensitive to natural and built environment in the field of architecture. | |
5) | Gaining skills to understand the relationship between architecture and other disciplines, to be able to cooperate, to develop comprehensive projects; to take responsibility in independent studies and group work. | |
6) | Giving importance to the protection of natural and cultural values in the design of the built environment by being aware of the responsibilities in terms of human rights and social interests. | |
7) | Giving importance to sustainability in the solution of design problems and the use of natural and artificial resources by considering the social, cultural and environmental issues of architecture. | |
8) | Being able to convey and communicate all kinds of conceptual and practical thoughts related to the field of architecture by using written, verbal and visual media and information technologies. | |
9) | Gaining the ability to understand and use technical information about building technology such as structural systems, building materials, building service systems, construction systems, life safety. | |
10) | Being aware of legal and ethical responsibilities in design and application processes. |