PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EEEN 439	BASICS OF IMAGE PROCESSING	3 + 0	6th Semester	5

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

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

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	3	1	2	3	1	1	1
LO 002	3	1	1	2	1	1	1
LO 003	2	1	2	3	1	1	2
LO 004	3	2	2	1		1	1
Sub Total	11	5	7	9	3	4	5
Contribution	3	1	2	2	1	1	1	0	0	0	0	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Mid-terms	1	14	14
Final examination	1	18	18
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EEEN 439	BASICS OF IMAGE PROCESSING	3 + 0	3	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. MUHAMMET ÜSAME ÖZİÇ	muozic@pau.edu.tr		MUH A0434	%70

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.

Topics

Weeks	Topics
1	Introduction, color space, grayscale and colorful images, image types
2	Fundemental image processing methods
3	Image histograms, image filtering
4	Edge detection methods
5	Morphologic operations
6	Image segmentation
7	Image segmentation
8	Midterm exam
9	Home presentations
10	Image registration
11	Image registration
12	Image restoration
13	Image restoration
14	Final exam

Materials

Materials are not specified.

Resources

Resources	Resources Language
C.Solomon and T.Breckon, “Fundamentals of Digital Image Processing”, Wiley-Blackwell 2011	English
R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, 3rd Ed., Prentice-Hall, 2008	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student