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COURSE INTRODUCTION AND APPLICATION INFORMATION
dm.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Fall/Spring |
| Prerequisites | None | |||||
| Course Language | ||||||
| Course Type | Elective | |||||
| Course Level | - | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | Problem SolvingSimulationApplication: Experiment / Laboratory / Workshop | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | X | |
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Introduction. What is Digital Image Processing? Application areas of digital image processing | Chapter 1. Sections 1.11.3. 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, 2.12.4. 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, 2.12.4. 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 3.13.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 6 | Image Enhancement in the spatial domain. Histogram processing. | Chapter 3. Sections 3.13.6. 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 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 10 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 11 | Image restoration: system model, noise model, estimation of degradation function. | Chapter 5. Sections 5.1,5.2,5.75.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 12 | 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 |
| 13 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 14 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 15 | Review for Final exam | |
| 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. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 2 | 10 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 25 |
| Final Exam | 1 | 25 |
| Total |
| Weighting of Semester Activities on the Final Grade | 75 | |
| Weighting of End-of-Semester Activities on the Final Grade | 25 | |
| Total |
ECTS / WORKLOAD TABLE
| 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 | 15 | 2 | |
| Field Work | |||
| Quizzes / Studio Critiques | 2 | 2 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 8 | |
| Final Exams | 1 | 10 | |
| Total | 100 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics. | |||||
| 2 | To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics, | |||||
| 3 | To be able to define and analyze problems and to find solutions based on scientific methods, | |||||
| 4 | To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials, | X | ||||
| 5 | To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, | X | ||||
| 6 | To be able to criticize and renew her/his own models and solutions, | |||||
| 7 | To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way, | |||||
| 8 | To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge up-to-date, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature, | |||||
| 9 | To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, | X | ||||
| 10 | To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, | |||||
| 11 | To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, | |||||
| 12 | By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, | |||||
| 13 | To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning, | |||||
| 14 | To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school, | |||||
| 15 | To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest