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 | |||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) | - |
Course Objectives | This course introduces the fundamental principles and algorithms of digital image processing systems. The course will cover many subjects including image sampling and quantization; spatial and frequency domain image enhancement techniques; digital signal processing theories used for digital image processing, such as onedimensional and twodimensional convolution, and twodimensional Fourier transformation; 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 will be included: Digital images as twodimensional signals; twodimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Wavelets and Multiresolution processing; Image coding and compression. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | X | |
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction. What is Digital Image Processing? Application areas of digital image processing | Chapter 1. Sections 1.1-1.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
2 | Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking | Chapter 1-2. Sections 1.4,1.5, 2.1-2.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
3 | Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking | Chapter 1-2. Sections 1.4,1.5, 2.1-2.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
4 | Human visual system | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
5 | Image Enhancement in the spatial domain. Basic gray level transformations. Smoothing and sharpening spatial filters. | Chapter 3. Sections 3.1-3.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
6 | Image Enhancement in the spatial domain. Histogram processing. | Chapter 3. Sections 3.1-3.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
7 | The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem | Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
8 | The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem | Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
9 | Mid-term Exam | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
10 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.7-4.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
11 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.7-4.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
12 | Image restoration: system model, noise model, estimation of degradation function. | Chapter 5. Sections 5.1,5.2,5.7-5.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
13 | Image restoration in the presence of noise only, inverse filtering, minimum mean square error (Wiener) filtering. | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
14 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.1-6.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
15 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.1-6.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
16 | Review of the semester |
Course Notes/Textbooks | R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, PrenticeHall, 3rd Ed., 2008, ISBN 013168728X. |
Suggested Readings/Materials | R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, PrenticeHall, 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, Computer Science and Software 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 Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern 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 software 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 Software Engineering problems. | |||||
6 | To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
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 be able to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software 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 Software 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 Software Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest