Image Photonics

The course is not on the list Without time-table
Code Completion Credits Range Language
BE2M37OBFA Z,ZK 6 2P+2L English
Petr Páta (guarantor)
Petr Páta (guarantor), Jan Bednář, Petr Skala
Department of Radioelectronics

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.


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

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

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

Study materials:

[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

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2020-10-20
For updated information see http://bilakniha.cvut.cz/en/predmet5593306.html