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M.SC. in Electrical and Electronics Engineering (With Thesis)
IES 524 | Course Introduction and Application Information
| Course Name |
Digital Image Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IES 524
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| National Occupation Classification | - | |||||
| 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 digital signal processing theories used for digital image processing, including onedimensional and twodimensional convolution, Fourier transform, and discrete cosine transform. Image processing basics. Image enhancement. Image restoration. Image coding and compression. Video processing including video coding and compression. Additional topics including digital highdefinition television systems. Applications of image and video processing in engineering and computer science. |
| Learning Outcomes |
The students who succeeded in this course;
|
| 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; Video processing including video coding and compression. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation | Learning Outcome |
| 1 | Giriş. Sayısal Görüntü İşleme Nedir? Sayısal görüntü işlemenin uygulama alanları / 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 | Sayisal Görüntü Temelleri. Sayısal görüntüler nasıl üretilir? Örnekleme, nicemleme, örtüşme, Moire örüntüleri, görüntü yakınlaştırma ve küçültme / 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 | Görüntü Dönüşümleri. 2D DFT ve FFT, frekans düzlemi, ve görüntü süzgeçleme / Image Transforms. 2D DFT and FFT, the frequency domain, and image filtering | Chapter 2. Sections 2.5,2.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 4 | Uzamsal düzlemde görüntü iyileştirme. Histogram işleme / Image Enhancement in the spatial domain. Histogram processing | Chapter 3. Sections 3.13.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 5 | 2D Discrete Fourier Dönüşümü ve Tersi, 2D DFT ve 2D Evrişim Teoremi /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 | |
| 6 | Frekans düzleminde görüntü iyileştirme / Image Enhancement in the frequency domain. | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 7 | Görüntü Onarımı. En küçük ortalamalı kare hatası (Wiener) süzgeçleme / Image Restoration. Minimum mean square error (Wiener) filtering | Chapter 5. Sections 5.1,5.2,5.75.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 8 | Renkli Görüntü İşleme. Renk dönüşümleri. Renkli görüntü yumuşatma ve keskinleştirme / Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Sections 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 9 | Dalgacıklar ve Çokluçözünürlük işleme /Wavelets and Multiresolution processing | Chapter 7. Sections 7.17.5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 10 | Görüntü Sıkıştırma. Sıkıştırma metodları ve standardları /Image Compression. Compression methods and standards | Chapter 8. Sections 8.1,8.2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 11 | Biçimsel Görüntü İşleme. Genleşme ve Kemirme /Morphological Image Processing. Dilation and Erosion | Chapter 9. Sections 9.19.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 12 | Görüntü Bölütlemesi /Image Segmentation | Chapter 10. Sections 10.110.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 13 | Görüntü Gösterimi ve Tanımlaması / Image Representation and Description | Chapter 11. Sections 11.111.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 14 | Nesne Tanıma / Object Recognition | Chapter 12. Sections 12.1,12.2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X | |
| 15 | Görüntü İşleme Uygulamaları /Applications of Image Processing | Chapter 8. Sections 8.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728XA. Skodras, C. Christopoulos, T. Ebrahimi, “The JPEG2000 Still Image Compression Standard,” IEEE Signal Processing Magazine, Sept. 2001. | |
| 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 | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1*
|
30
|
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
20
|
| Final Exam |
1
|
30
|
| Total |
| Weighting of Semester Activities on the Final Grade |
70
|
|
| Weighting of End-of-Semester Activities on the Final Grade |
30
|
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
6
|
90
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1*
|
5
|
5
|
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
11
|
11
|
| Final Exam |
1
|
16
|
16
|
| Total |
170
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
PC Sub | Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 | Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information |
-
|
-
|
-
|
-
|
-
|
|
| 2 | Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations |
-
|
-
|
-
|
-
|
-
|
|
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
Is informed about new and upcoming applications in the field and learns them whenever necessary. |
-
|
-
|
-
|
-
|
-
|
|
| 5 | Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. |
-
|
-
|
-
|
-
|
-
|
|
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. |
-
|
-
|
-
|
-
|
-
|
|
| 7 | Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. |
-
|
-
|
-
|
-
|
-
|
|
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. |
-
|
-
|
-
|
-
|
-
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| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
-
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-
|
-
|
-
|
-
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| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
-
|
-
|
-
|
-
|
-
|
|
| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics Engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications. |
-
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-
|
-
|
-
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-
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| 12 |
Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics. |
-
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-
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-
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-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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