Subject description - AE0M37MOT

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AE0M37MOT Advanced areas in image and video technology Extent of teaching:2+2L
Guarantors:  Roles:V Language of
Teachers:  Completion:KZ
Responsible Department:13137 Credits:5 Semester:Z


This course presents the state-of-the-art techniques for digital image and video technology. These techniques and their applications cover almost all areas of technical professions dealing with human interaction. The content of lectures is being updated rapidly and continuously according to a remarkable progress in this field. The course deals with the principal functional blocks of mentioned systems both hardware and software implemented.

Study targets:

Students acquire knowledge in advanced methods and technology in imaging, including image acquisition, reproduction, processing and optical methods for image processing.

Course outlines:

1. Introduction, development of image and video technology
2. Problems of real image gathering systems (CCD, CMOS)
3. Digital photography - functional blocks, image processing
4. Imaging systems of cameras and projectors
5. Advanced image compression techniques
6. Advanced image reconstruction techniques
7. Advanced video recording and postproduction techniques
8. Special image reproduction systems, 3D imaging
9. High Definition TV systems (HDTV, UHDTV)
10. Lighting and flash systems - types, characteristics
11. Advanced digital printing techniques, color management
12. Presentation and projection technology
13. Security and surveillance systems
14. Image technology in astronomy and biomedicine

Exercises outline:

1. Introduction, seminar on laboratory measurements
2. Measurement of camera noise parameters
3. Measurement on security camera system
4. Measurement of resolution of objective lens
5. Measurement in photography studio, characteristics of lighting system
6. Measurement of colorimetric parameters and color management
7. Processing of color images and video in Matlab
8. Implementation of advanced image reconstruction techniques
9. Controlling video camera from Matlab programming environment
10. Evaluation of resolution of objective lens
11. Calculation of correlated color temperature of light sources
12. Lossy compression techniques of image and video
13. Movement detection in video sequences
14. Assessment, project evaluation


[1] Gonzales, R. C. Digital image processing, Upper Saddle River : Pearson, 2002.
[2] Bovik, A. Handbook of Image and Video Processing, Elsevier Academic Press, New York, 2005.




image, video, signal processing

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEKME1 Wireless Communication V
MEKME5 Systems of Communication V
MEKME4 Networks of Electronic Communication V
MEKME3 Electronics V
MEKME2 Multimedia Technology V
MEOI1 Artificial Intelligence V
MEOI5NEW Software Engineering V
MEOI5 Software Engineering V
MEOI4 Computer Graphics and Interaction V
MEOI3 Computer Vision and Image Processing V
MEOI2 Computer Engineering V
MEEEM1 Technological Systems V
MEEEM5 Economy and Management of Electrical Engineering V
MEEEM4 Economy and Management of Power Engineering V
MEEEM3 Electrical Power Engineering V
MEEEM2 Electrical Machines, Apparatus and Drives V
MEKYR4 Aerospace Systems V
MEKYR1 Robotics V
MEKYR3 Systems and Control V
MEKYR2 Sensors and Instrumentation V

Page updated 28.2.2020 15:51:33, semester: Z,L/2020-1, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)