| Course Name |
Introduction to Digital Image Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 490
|
Fall/Spring
|
3
|
0
|
3
|
5
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Elective
|
|||||||
| Course Level |
First Cycle
|
|||||||
| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | Problem SolvingSimulationApplication: Experiment / Laboratory / WorkshopLecture / Presentation | |||||||
| National Occupation Classification | - | |||||||
| Course Coordinator | ||||||||
| Course Lecturer(s) | ||||||||
| Assistant(s) | - | |||||||
| Course Objectives | This course introduces the fundamental principles and algorithms of digital image processing systems. The course covers image sampling and quantization; spatial and frequency domain image enhancement techniques; signal processing theories used for digital image processing, such as one- and two-dimensional convolution, and two-dimensional Fourier transformation; morphological image processing; color models and basic color image processing. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | The course content includes: Digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Image coding and compression. |
| Related Sustainable Development Goals |
|
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses |
X
|
|
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Related Preparation |
| 1 | Introduction | Chapter 1. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 2 | Fundamentals of digital images | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 3 | Global histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 4 | Local histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 5 | Point processing, basic gray-level transformations | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 6 | Spatial filtering, convolution, smoothing filters | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 7 | Spatial filtering, convolution, sharpening filters, combining spatial filtering techniques | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 8 | Filtering in the frequency domain, convolution theorem | Chapter 4. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 9 | Midterm Exam | |
| 10 | Image restoration for noise removal | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 11 | Morphological image processing | Chapter 9. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 12 | Color image processing | Chapter 6. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 13 | Fundamentals of image compression, JPEG image compression algorithm | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 14 | Project presentations | |
| 15 | Project presentations | |
| 16 | Final Exam |
| Course Notes/Textbooks | R. C. Gonzalez, R. E. Woods, Digital Image Processing, Pearson, 2010, 3/E, ISBN: 978-0-13-234563-7 |
| Suggested Readings/Materials |
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application |
-
|
-
|
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
10
|
| Project |
1
|
20
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
40
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
60
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours |
16
|
0
|
|
| Study Hours Out of Class |
14
|
2
|
28
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
4
|
4
|
| Project |
1
|
30
|
30
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
15
|
15
|
| Final Exam |
1
|
25
|
25
|
| Total |
150
|
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems |
-
|
-
|
X
|
-
|
-
|
|
| 2 |
Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem. |
-
|
-
|
-
|
X
|
-
|
|
| 3 |
Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions. |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations |
X
|
-
|
-
|
-
|
-
|
|
| 5 |
Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems. |
-
|
-
|
-
|
-
|
-
|
|
| 6 |
Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions |
-
|
-
|
-
|
-
|
-
|
|
| 7 |
Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101) |
-
|
-
|
-
|
-
|
-
|
|
| 8 |
Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid). |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters. |
-
|
-
|
-
|
-
|
-
|
|
| 10 |
Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
-
|
-
|
-
|
-
|
-
|
|
| 11 |
Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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