Subject description - B2M37OBT

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B2M37OBT Image Technology
Roles:P Extent of teaching:2p+2l
Department:13137 Language of teaching:CS
Guarantors:Páta P. Completion:Z,ZK
Lecturers:Krauz L., Páta P. Credits:6
Tutors:Fliegel K., Krauz L., Páta P. Semester:Z

Web page:

https://moodle.fel.cvut.cz/courses/B2M37OBT

Anotation:

he course is devoted to multimedia technology, with a focus on image acquisition, processing, and reproduction. It primarily addresses areas including the measurement of photometric, radiometric, and colorimetric quantities, as well as the design and characterization of lenses, image sensors, displays, lighting technology, and other imaging components, including their parameters. The course also covers cinematography, photography, and other specialized image reproduction methods, such as printing technologies and digital printing. The studied topics are further complemented by advanced image processing methods.

Study targets:

Students learn principles and methods of scanning and reproduction of image and related signal processing.

Course outlines:

1. Multimedia technology and the observing subject, digital photography
2. Physiological and psychovisual properties of vision – hierarchy of image processing
3. Photometry, radiometry, colorimetry
4. Lenses, 2D transfer functions
5. Image sensors
6. Image displays
7. Cinematography, photography
8. Methods of image information preprocessing – calibration and basic image operations
9. Lighting technology
10. Optical filters and other imaging components
11. Printing technologies, digital printing
12. Image reconstruction methods
13. Special optical imaging systems
14. 3D systems – acquisition and reproduction methods, applications

Exercises outline:

1. Introductions, safety precautions
2. Image processing basics in Matlab - design of a test pattern
3. Transfer function (Look-Up-Table) and histogram
4. 2D convolution - filtration and edge detection
5. Interpolation methods - sensing of color images
6. Lossy image compression - JPEG, VQ
7. Image reconstruction methods - denoising
8. Pinhole as an imaging system
9. Measurement of the Modulation Transfer Function (MTF) of a digital camera
10. Measurement of the Opto-electronic Transfer Function (OECF) of a digital camera
11. Color calibration of a production chain (digital camera, monitor, printer, projector)
12. Measurement of the spectral transmittance of photographical filters
13. Fourier optics - 2D filtration in optical path
14. Test, Assessments

Literature:

[1] Gonzalez, R. C., Woods, R. E.: Digital Image Processing, Pearson, 2017.
[2] Bovik, A.: Handbook of Image and Video Processing, Elsevier Academic Press, New York, 2005.
[3] Goodman, J. W.: Introduction to Fourier Optics, Roberts and Company Publishers, 2005.
[4] Hornberg, A.: Handbook of machine and computer vision: the guide for developers and users, Wiley & Sons, 2017.
[5] Kriss, M.: Handbook of digital imaging, Wiley & Sons, 2015.
[6] Vít, V.: Televizní technika - přenosové barevné soustavy, Praha, BEN-Technická literatura, 1997

Requirements:

Knowledge of physics, mathematical analysis, and analysis of signals and systems.

Keywords:

Image processing, image sensors, image displays, video, photography, imaging systems, image compression

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPEK2_2018 Audiovisual and Signal Processing P 1
MPKIT4_2026 Audiovisual technology P 1
MPEK3_2018 Photonics P 1


Page updated 13.5.2026 17:52:09, semester: Z/2028-9, Z/2027-8, L/2025-6, Z,L/2026-7, Z/2025-6, L/2029-30, L/2027-8, L/2028-9, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)