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Department of Computer Engineering
CE 490 | Course Introduction and Application Information
| Course Name |
Introduction to Digital Image Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 490
|
FALL
|
3
|
0
|
3
|
5
|
| Prerequisites | To be a junior (3th year) student | |||||
| Course Language | English | |||||
| Course Type | ELECTIVE_COURSE | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face-To-Face | |||||
| Teaching Methods and Techniques of the Course |
Application: Experiment / Laboratory / Workshop Lecture / Presentation |
|||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
|
|||||
| Course Lecturer(s) |
|
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| Assistant(s) | - | |||||
| Course Objectives | This course introduces the fundamental principles and algorithms of digital image processing systems. The course content includes image sampling and quantization, image enhancement techniques in spatial and frequency domains, signal processing theories used in digital image processing—such as one-dimensional and two-dimensional convolution, two-dimensional Fourier transform, morphological image processing, color models, and basic color image processing topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | The course content includes digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; fundamentals of image processing; image enhancement; image restoration; image coding and compression. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
|
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|
|
Core Courses |
|
| Major Area Courses |
X
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction | Chapter 1. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO1 |
| 2 | Fundamentals of digital images | Chapter 2. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO1 |
| 3 | Global histogram processing | Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO2 |
| 4 | Local histogram processing | Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO2 |
| 5 | Point processing, basic gray-level transformations | Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO3 |
| 6 | Spatial filtering, convolution theorem, smoothing filters | Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO3 |
| 7 | Spatial sharpening filters, combining spatial filtering techniques | Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO3 |
| 8 | Midterm Exam | - | - |
| 9 | Filtering in the frequency domain, convolution theorem | Chapter 4. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO3 |
| 10 | Image restoration for noise removal | Chapter 5. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO4 |
| 11 | Morphological image processing | Chapter 9. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO5 |
| 12 | Color image processing | Chapter 6. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO6 |
| 13 | Fundamentals of image compression, JPEG image compression algorithm | Chapter 8. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7 | LO6 |
| 14 | Project presentations | - | LO7 |
| 15 | Project presentations | - | LO7 |
| 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 | - |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO7 | LO6 | LO5 | LO4 | LO3 | LO2 | LO1 |
| Midterm | 1 | 30 | X | X | X | ||||
| Project | 1 | 20 | X | X | X | X | X | X | X |
| Presentation / Jury | 1 | 10 | X | X | X | X | X | X | X |
| Final Exam | 1 | 40 | X | X | X | ||||
| Total | 4 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 3 | 48 |
| Laboratory / Application Hours | - | - | - |
| Study Hours Out of Class | 14 | 2 | 28 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | 1 | 4 | 4 |
| Project | 1 | 30 | 30 |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 15 | 15 |
| Final Exam | 1 | 25 | 25 |
| Total | 150 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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