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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)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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
  1. Miodrag Popović, Digital Image Processing, Academic mind, 2006.
  2. 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