COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EEEN 439BASICS OF IMAGE PROCESSING3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Course Content Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1He/She knows the fundamental concepts of image processing
2He/She knows and applies image enhancement techniques
3He/She knows and applies image restoration techniques
4He/She knows and applies image compression

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 013123111     
LO 023112111     
LO 032123112     
LO 043221 11     
Sub Total11579345     
Contribution312211100000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14456
Mid-terms11414
Final examination11818
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Spring1MERİÇ ÇETİN

Course Details
Course Code:  EEEN 439 Course Title:  BASICS OF IMAGE PROCESSING
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2020-2021 Spring
Course Coordinator :  ASSOCIATE PROFESSOR MERİÇ ÇETİN E-Mail:  mcetin@pau.edu.tr Phone Number : 
Course Location MUH A0248,
Goals : To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Content : Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Attendance : %70
Topics
WeeksTopics
1 Introduction, Digital Image Fundamentals
2 Color space, grayscale and colorful images, image types
3 Image Enhancement in the Spatial Domain, Image histograms
4 Basics of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters
5 Image Enhancement in the Frequency Domain, Fourier Transform,
6 Smoothing Spatial Filters, Sharpening Spatial Filters, Homomorphic Filtering
7 Image Restoration
8 Minimum Mean Square Error (Wiener) Filtering , Adaptive Wiener Filtering, Inverse Filtering
9 Midterm exam
10 Image Segmentation
11 Morphological Image Processing
12 Morphological Image Processing
13 Image Compression
14 Final exam
Materials
Materials are not specified.
Resources
ResourcesResources Language
C.Solomon and T.Breckon, “Fundamentals of Digital Image Processing”, Wiley-Blackwell 2011English
R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, 3rd Ed., Prentice-Hall, 2008English
Prof. Dr. Aydın Kızılkaya Ders NotlarıTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes
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