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DIGITAL IMAGE PROCESSING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
BIL417 DIGITAL IMAGE PROCESSING 5 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction to digital image processing -
2 - Fundamentals of digital images -
3 - Histogram processing -
4 - Point processing, basic gray-level transformations -
5 - Spatial filtering, convolution, smoothing filters -
6 - Spatial filtering, convolution, smoothing filters -
7 - Frequency domain filtering, convolution theorem -
8 - Image restoration for noise removal -
9 - Morphological image processing -
10 - MID-TERM EXAM -
11 - Color image processing -
12 - Color image processing -
13 - Fundamentals of image compression -
14 - JPEG image compression algorithm -
15 - Review before final exam -
16 - FINAL EXAM -
17 - FINAL EXAM -