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 |
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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 | ||||||||
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;
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Course Description | The following topics are included: 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 | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction | Chapter 1. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
2 | Digital image fundamentals | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
3 | Histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
4 | Point processing, basic intensity transformations | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
5 | Spatial filtering, convolution, smoothing filters | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
6 | Spatial filtering, convolution, sharpening filters, combining spatial filtering techniques | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
7 | Midterm Exam I | |
8 | Filtering in the frequency domain, convolution theorem | Chapter 4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
9 | Image restoration for noise removal | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
10 | Morphological image processing | Chapter 9. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
11 | Midterm Exam II | |
12 | Color image processing | Chapter 6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
13 | Fundamentals of image compression | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
14 | JPEG image compression algorithm | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
15 | Semester Review | |
16 | Final Exam |
Course Notes/Textbooks | R. C. Gonzalez, R. E. Woods, “Digital Image Processing”, Prentice Hall, 3rd Ed., 2008, ISBN 013168728X. |
Suggested Readings/Materials | R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, Prentice Hall, 2nd Ed., 2009, ISBN 9780982085400. |
Semester Activities | Number | Weigthing |
Participation | - | - |
Laboratory / Application | - | - |
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 2 | 60 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 2 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 16 | 3 | 48 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 2 | 15 | |
Final Exams | 1 | 24 | |
Total | 150 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | X | ||||
2 | To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | |||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. | X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. | X | ||||
6 | To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | X | ||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest