Subject description - B2M37OBFA

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B2M37OBFA Image Photonics
Roles:P, PV Extent of teaching:2P+2L
Department:13137 Language of teaching:CS
Guarantors:Páta P. Completion:Z,ZK
Lecturers:Páta P. Credits:6
Tutors:Bednář J., Krauz L., Páta P., Skala P. Semester:Z


The subject offers a detailed overview of applied imaging photonic elements and systems. The subject deals with fundamentals of optics, Fourier optics and optical computing. Fourier optics. Image sensors - tube, CCD, CMOS. Image displays. Image converters and amplifiers. Photography and holography - sensitometry and densitometry. Photonic (optical) computing. Electron optics. Image processing in biosystems. Image processing for photonics.

Study targets:

Students learn principles and methods of image photonics, optics (geometrical, wave and Fourier) and advances in image recording and optical computing.

Course outlines:

1. Introduction - basic principles of image photonics
2. Geometrical optics
3. Imaging systems - design, construction, types, applications, measurements
4. Photometry, radiometry, colorimetry - basic formulae, applications, illumination
5. Fourier optics - subsystems, matrix optics - description of optical systems
5. Image sensors I. - tubes, switched arrays of photoelements (CMOS etc.), termovision
6. Image sensors II. - CCD image sensors - properties and modifications
7. Image displays - picture tubes, LED and laser diode arrays, LCD, plasma, DMD
8. Image converters and amplifiers - special applications (night vision, X ray systems)
9. Photography, holography, polygraphy - physical principles, sensitometry, densitometry
10. Optical (photonic) processors - 2D FT, 2D correlation, filtration, algebraic processors
11. Electron optics for imaging - elst and mg lenses, types of electron guns
12. Image processing in biological systems - analogy with optical systems
13. Image processing in photonics - compensation of real properties of sensors and displays
14. Conclusion, summary and future trends overview

Exercises outline:

1. Introduction, organization and content of labs, working groups
2. Laboratory experiments - explanation (Camera MTF, Optical 2D FT, Image sensors)
3. MTF of TV camera - transmission function of optical system, impact of objective
4. Optical 2D Fourier transform - 2D spatial analysis and filtering
5. Image sensors - spectral and temporal characteristics, sensing aperture
6. Test
7. Laboratory experiments - explanation (Image displays, Electron optics, Illumination)
8. Image displays - spectral and temporal characteristics, color fidelity
9. Electron optics - electron motion in elst and mg fields, imaging systems
10. Illumination - design of illumination system, color temperature
11. Test
12. Computer simulation - aperture distortion, spectral and spatial representation
13. Colloquium - discussion of theoretical parts, examples
14. Conclusion, evaluation and assessment


[1] Saleh, B.E.A., Teich, M.C.: Základy fotoniky. (4 svazky), Matfyzpress, Praha 1994-1996
[2] B. Jahne, Image Processing for Scientific Applications, CRC, New York, 1997.
[3] J. W. Goodman, Introduction to Fourier Optics, 3rd edition, Roberts&Company Pub., 2005


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


Subject is included into these academic programs:

Program Branch Role Recommended semester
MPEK2_2018 Audiovisual and Signal Processing PV 3
MPEK3_2018 Photonics P 1
MPEK4_2018 Technology of the Internet of Things PV 3

Page updated 19.1.2021 17:54:11, semester: Z/2020-1, L/2021-2, L/2020-1, Z/2021-2, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)