MS1DOE - Digital Image Processing

Course specification
Course title		Digital Image Processing
Acronym		MS1DOE
Study programme		Electrical Engineering and Computing
Module		Electronics
Type of study		master academic studies
Lecturer (for classes)		professor PhD Nenad Jovičić
Lecturer/Associate (for practice)		asst. professor PhD Dragomir El Mezeni
Lecturer/Associate (for OTC)		asst. professor PhD Dragomir El Mezeni
ESPB		6.0	Status	elective
Condition		none
The goal		To familiarize students with the basics of digital image processing in space and frequency domain. Training of students to use the software packages for image processing, and also to implement their own algorithms for image processing and analysis.
The outcome		After this course, the students are able to understand and implement the basic algorithms for image processing and use software packages or to write their own programs.
Contents
Contents of lectures		Fundamentals of digital image processing. Formation of digital image and video signals. Discretization of 2D signals. Image transformations. Improvement of picture quality in space and transform domain. Improvement of color images. Picture degradation and restoration. Image compression. Standards for image compression. Processing of video signals. Edge detection. Image segmentation.
Contents of exercises		Introduction to algorithms for image processing on a computer. Use of the programing system MATLAB.
Literature
Miodrag Popović, Digital Image Processing, Academic mind, 2006. R. Gonzalez, R. Woods, S. Eddins, Digital Image Processing Using MATLAB, Prentice Hall, 2004. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures with computer demonstrations. Exercises in computer laboratory.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	60
Practical lessons		0	Oral examination	0
Projects		40
Colloquia		0
Seminars		0