IES 524 | Course Introduction and Application Information - Ph.D. In Electrical-Electronics Engineering

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;

Understand the fundamental concepts of a digital image processing system
Know how to analyze images (2D signals) in the frequency domain through the Fourier transform
Have a basic understanding of human visual perception
Be able to design and implement algorithms for digital image processing with

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.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

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.

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

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

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	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. Knows and applies the research methods in studies of the area with a high level of skill.		-	-	-	-	-
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. Can independently realize novel studies that bring innovation to the field, or methods, or design, or known methods.		-	-	-	-	-
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. Performs critical analysis, synthesis and evaluation of new and complex ideas.		-	-	-	-	-
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.		-	-	-	-	-
9	Engages in written and oral communication at least in Level C1 of the European Language Portfolio Global Scale.		-	-	-	-	-
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	Evaluates the results of scientific, technological and engineering research and development activities in terms of the social, environmental, health, safety and legal aspects. Examines social relations and norms related to the field, and develops and makes attempts to change them if necessary. Knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications.		-	-	-	-	-
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.		-	-	-	-	-

IES 524 | Course Introduction and Application Information

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

EVALUATION SYSTEM

ECTS / WORKLOAD TABLE

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

NEW GÜZELBAHÇE CAMPUS

GLOBAL CAREER

CONTRIBUTION TO SCIENCE

VALUING PEOPLE

BENEFIT TO SOCIETY