Print

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.

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 0013123111     
LO 0023112111     
LO 0032123112     
LO 0043221 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 2024-2025 Spring1MUHAMMET ÜSAME ÖZİÇ
Details 2024-2025 Fall3MUHAMMET ÜSAME ÖZİÇ
Details 2023-2024 Spring3MUHAMMET ÜSAME ÖZİÇ
Details 2023-2024 Spring4MERİÇ ÇETİN
Details 2022-2023 Spring1MUHAMMET ÜSAME ÖZİÇ
Details 2021-2022 Spring1MERİÇ ÇETİN
Details 2020-2021 Spring1MERİÇ ÇETİN
Details 2019-2020 Spring1MERİÇ ÇETİN
Details 2018-2019 Spring1MERİÇ ÇETİN
Details 2017-2018 Spring1MERİÇ ÇETİN
Details 2016-2017 Spring1MERİÇ ÇETİN
Details 2015-2016 Spring1MERİÇ ÇETİN
Details 2013-2014 Spring1EVGİN GÖÇERİ


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
EEEN 439 BASICS OF IMAGE PROCESSING 3 + 0 1 Turkish 2024-2025 Spring Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. MUHAMMET ÜSAME ÖZİÇ muozic@pau.edu.tr MUH A0435 %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
WeeksTopics
1 Introduction
2 Basic concepts
3 Basic and Coordinate Operations
4 Histogram and Thresholding
5 Bitwise Operators
6 Color Spaces
7 Color Image Processing
8 Filters
9 Morphological Operators
10 Frequency Domain
11 Object Properties
12 Video Processing
13 Visual Artificial Intelligence
14 Artificial Intelligence Applications in Image Processing
Materials
Materials are not specified.
Resources
ResourcesResources Language
Sayısal Görüntü İşleme, Rafael C. Gonzales, Richard E. Woods, PALME YAYINCILIKTürkçe
Digital image processing using MATLAB, Gonzales, R. C., Woods, R. E., & Eddins, S. L., Pearson Prentice Hall.English
Fundamentals of Digital Image Processing, Chris Solomon, Toby Breckon, WILEY-BLACKWELLEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam30Midterm Exam
Project20Project
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes