ECTS - Advanced Topics in Digital Image Processing
Advanced Topics in Digital Image Processing (MDES672) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Topics in Digital Image Processing | MDES672 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | Upon successful completion of the course, students will learn and have an understanding of the mathematical tools for modeling and analysis of image acquisition and processing systems. Students will also master basic techniques of image processing applications. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Review of image processing fundamentals, frequency and space domain image processing methods; wavelets, multiresolution processing, and orthogonal transforms; image and video compression standards; image segmentation and representation; nonlinear image processing methods. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Review of image processing fundamentals | Related pages of lecture notes and other sources |
| 2 | Review of basic frequency and space domain image processing techniques | Related pages of lecture notes and other sources |
| 3 | Review of basic frequency and space domain image processing techniques | Related pages of lecture notes and other sources |
| 4 | Subband decomposition, filter banks, and pyramids | Related pages of lecture notes and other sources |
| 5 | Subband decomposition, filter banks, and pyramids | Related pages of lecture notes and other sources |
| 6 | Wavelets and discrete orthogonal transforms | Related pages of lecture notes and other sources |
| 7 | Wavelets and discrete orthogonal transforms | Related pages of lecture notes and other sources |
| 8 | Nonlinear image processing techniques | Related pages of lecture notes and other sources |
| 9 | Nonlinear image processing techniques | Related pages of lecture notes and other sources |
| 10 | Image segmentation | Related pages of lecture notes and other sources |
| 11 | Image representation and Description | Related pages of lecture notes and other sources |
| 12 | Image representation and Description | Related pages of lecture notes and other sources |
| 13 | Object Recognition | Related pages of lecture notes and other sources |
| 14 | Object Recognition | Related pages of lecture notes and other sources |
| 15 | Overall review | - |
| 16 | Final exam | - |
Sources
| Course Book | 1. Ders notları / Notes are available |
|---|---|
| Other Sources | 2. 1. Digital Image Processing, Rafael C. Gonzales and Richard E. Woods, Addison-Wesley Publishing Company, 1993. |
| 3. 2. Digital Video Processing, A. Murat Tekalp, Prentice-Hall, 1995. | |
| 4. 3. Two-Dimensional Signal and Image Processing, Jae S. Lim, Prentice-Hall, 1989. | |
| 5. 4. Fundamentals of Digital Image Processing, Anil K. Jain and Thomas Kailath, Prentice-Hall 1988. | |
| 6. 5. Digital Image Processing, Kenneth R. Castleman, Prentice-Hall, 1995. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | 4 | 20 |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 2 | 40 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 20 |
| Final Exam/Final Jury | 1 | 20 |
| Toplam | 9 | 100 |
| Percentage of Semester Work | 80 |
|---|---|
| Percentage of Final Work | 20 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Ability to carry out advanced research activities, both individual and as a member of a team | |||||
| 2 | Ability to evaluate research topics and comment with scientific reasoning | |||||
| 3 | Ability to initiate and create new methodologies, implement them on novel research areas and topics | |||||
| 4 | Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions | |||||
| 5 | Ability to apply scientific philosophy on analysis, modelling and design of engineering systems | |||||
| 6 | Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level | |||||
| 7 | Contribute scientific and technological advancements on engineering domain of his/her interest area | |||||
| 8 | Contribute industrial and scientific advancements to improve the society through research activities | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 4 | 5 | 20 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 126 | ||