Course Details

ELE 675 Image Processing
2021-2022 Spring term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 28/01/2022.


Course Name Code Semester Theory
Credit ECTS
IMAGE PROCESSING ELE675 Any Semester/Year 3 0 3 8
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Instructor (s)Department Faculty 
Course objectiveIn order to equip the students with the capability to solve real-life problems in image processing, this course aims to teach the following topics to the students: -basic concepts of image processing , -image enhancement, restoration and compression, -image segmentation and image representation for object recognition  
Learning outcomes
  1. Know the basic concepts and approaches in image processing,
  2. Apply the techniques and algorithms s/he learnt in the class in real-life applications,
  3. Have the adequate knowledge to follow and understand advanced up-to-date image processing techniques.
Course ContentBasics of image processing: Spatial and Frequency Domains.
Image enhancement.
Image restoration.
Multiresolution image processing.
Image compression.
Image segmentation.
Image representation and description for object recognition.
ReferencesGonzalez R. C., Woods R. E., Digital Image Processing, 3rd ed., Prentice-Hall, 2008. 

Course outline weekly

Week 1Gonzalez R. C., Woods R. E., Digital Image Processing, 3rd ed., Prentice-Hall, 2008.
Week 2Image enhancement in the spatial domain
Week 3Image transforms
Week 4Image enhancement in the frequency domain
Week 5Image restoration
Week 6Color spaces and color image processing
Week 7Multiresolution image processing: Wavelets
Week 8Midterm Exam
Week 9Image compression
Week 10Image coding
Week 11Morphologic operations
Week 12Image segmentation
Week 13Image representation and description
Week 14Introduction to object recognition
Week 15Preparation week for final exams
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Field activities00
Specific practical training00
Final exam140
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)148112
Presentation / Seminar Preparation000
Homework assignment8756
Midterms (Study duration)11010
Final Exam (Study duration) 12020
Total Workload3848240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.    X
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.    X
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.    X
4. Designs and runs research projects, analyzes and interprets the results.    X
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. X   
6. Produces novel solutions for problems.  X  
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.   X 
8. Follows technological developments, improves him/herself , easily adapts to new conditions.    X 
9. Is aware of ethical, social and environmental impacts of his/her work. X   
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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