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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MEK 138IMAGE PROCESSING3 + 02nd Semester3

COURSE DESCRIPTION
Course Level Associate'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
5He/She knows the morphological image processing methods
6He/She knows edge detection algorithms and feature extraction
7He/She knows and applies image segmentation.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18
LO 001                  
LO 002                  
LO 003                  
LO 004                  
LO 005                  
LO 006                  
LO 007                  
Sub Total                  
Contribution000000000000000000

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)14228
Mid-terms133
Final examination155
Total Work Load

ECTS Credit of the Course






78

3
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes