Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1EEE547DIGITAL IMAGE PROCESSING0+0+03615.06.2026

 
Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program ELECTRICAL AND ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course introduces the fundamental principles and algorithms of digital image processing systems. The course will cover many subjects including image sampling and quantization; spatial and frequency domain image enhancement techniques; digital signal processing theories used for digital image processing, such as onedimensional and twodimensional convolution, and twodimensional Fourier transformation; color models and basic color image processing
Course Content 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
Course Methods and Techniques 1 - Lecture, 2 - Question - Answer, 3 - Discussion, 4 - Drill and Practice, 14 - Self Study
Prerequisites and co-requisities None
Course Coordinator Prof.Dr. Sema Kayhan
Name of Lecturers Prof.Dr. SEMA KAYHAN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources mage Processing And Analysis: Variational, PDE, Wavelet, And Stochastic Methods, T. Chan and J. Shen, Society for Industrial and Applied Mathematics
Course Notes R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, PrenticeHall, 3rd Ed., 2008, ISBN 013168728X., References R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, PrenticeHall, 2nd Ed., 2009, ISBN 9780982085400
Documents https://oys23.gantep.edu.tr/login/auth.php
Assignments https://oys23.gantep.edu.tr/login/auth.php
Exams -

Course Category
Mathematics and Basic Sciences %20
Engineering %20
Field %60

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Practice 4 % 20
Final examination 1 % 40
Total
6
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Weekly lecture hours 14 3 42
Weekly practical lecture hours 14 3 42
Reading Activities 6 6 36
Internet browsing, library work 1 6 6
Material design, application 1 10 10
Report preparation 6 4 24
Presentation preparation 1 2 2
Presentation 1 10 10
Midterm and midterm exam preparation 1 20 20
Total Work Load   Number of ECTS Credits 6 192

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 The student learns the fundamental concepts of image processing.
2 The student learns about basic image processing topics such as hardware, software, digitization, enhancement, coding, segmentation, and feature understanding
3 The student learns how to apply their knowledge to real-world examples requiring image processing
4 The student can analyze and program image processing algorithms.
5 The student prepares a project related to image processing, writes a report, and presents it in class.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Image Processing Book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
2 Fundamentals of Digital Images book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
3 Spatial Image Enhancement book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
4 Filtering and Noise Reduction book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
5 Frequency Domain Image Processing book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
6 Frequency Domain Image Enhancement book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
7 Color Image Processing book Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing
8 Color Image Processing book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
9 Morphological Operations book Rafael C. Gonzalez ve Richard E. Woods’un “Digital Image Processing
10 mage Segmentation: Thresholding and Edge Detection bookbook Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing
11 Region-Based Segmentation book Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing
12 Image Compression book Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing
13 Image Restoration book Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing
14 Current Applications and Project Presentations Rafael C. Gonzalez ve Richard E. Woods’un Digital Image Processing

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4
All 5 5 5 5
C1 5 5
C2 5 5 5
C3 5 5 5 5
C4 5 3
C5 5 5 5 5

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