Information Package / Course Catalogue
Digital Image Processing
Course Code: EE454
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The objective of this course is to introduction to basic concepts and methodologies for digital image processing. The students are expected to gain insight into subjects including image enhancement in the spatial and frequency domain, image restoration, color image processing, image compression.

Course Content

Digital image fundamentals, image enhancement in the spatial and frequency domain, image restoration, color image processing, image compression.

Name of Lecturer(s)
Learning Outcomes
1.To understand image enhancement techniques
2.To be able to process digital signals
3.To understand the 2-D Fourier transform and its properties
4.To learn spatial-domain filtering, line and edge detection techniques
5.To be able to apply segmentation and thresholding techniques
Recommended or Required Reading
1.Digital Image Processing, R.C. Gonzalez, R.E. Woods, Prentice-Hall, 2007
Weekly Detailed Course Contents
Week 1 - Theoretical
Digital image fundamentals, spatial resolution and intensity resolution
Week 2 - Theoretical
Image Sampling and Quantization
Week 3 - Theoretical
Image Enhancement in the Spatial Domain
Week 4 - Theoretical
Histogram processing
Week 5 - Theoretical
Spatial domain filtering
Week 6 - Theoretical
Image Enhancement in the Frequency Domain,2-D Fourier transform and its properties
Week 7 - Theoretical
Frequency domain filtering.
Week 8 - Theoretical
Image Restoration
Week 9 - Theoretical
Restoration in the Presence of Noise Only
Week 10 - Theoretical
Color Image Processing
Week 11 - Theoretical
Image Compression
Week 12 - Theoretical
Line and Edge detection
Week 13 - Theoretical
Segmentation and thresholding
Week 14 - Theoretical
Project presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment5%15
Project1%50
Quiz4%10
Midterm Examination1%25
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Project115217
Individual Work120224
Quiz42112
Midterm Examination110212
TOTAL WORKLOAD (hours)121
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
2
2
2
2
2
1
1
1
1
2
2
OÇ-2
2
2
2
2
2
2
1
1
1
2
2
OÇ-3
2
2
2
2
2
1
1
1
1
2
2
OÇ-4
2
2
2
2
2
2
1
1
1
2
2
OÇ-5
2
2
2
2
2
1
1
1
1
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026