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Information Package & Course Catalogue
FIRST CYCLE - BACHELOR'S DEGREE
.
FACULTY OF ENGINEERING
.
COMPUTER ENGINEERING DEPARTMENT
.
253 Computer Engineering (2014)
Course Information
|
Course Learning Outcomes
|
Course's Contribution To Program
|
ECTS Workload
|
Course Details
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 01
3
1
2
3
1
1
1
LO 02
3
1
1
2
1
1
1
LO 03
2
1
2
3
1
1
2
LO 04
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
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2020-2021 Spring
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Course Term
No
Instructors
Details
2020-2021 Spring
1
MERİÇ 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
Weeks
Topics
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
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
Prof. Dr. Aydın Kızılkaya Ders Notları
Türkçe
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
60
Final Exam
Midterm Exam
40
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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