CTU FEE Moodle
Image Photonics
B251 - Winter 25/26
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.
Image Photonics - B2M37OBFA
Main course
| Credits | 6 |
| Semesters | Winter |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
The course is devoted to advanced topics in imaging photonics, with particular emphasis on imaging and sensing systems. Students acquire knowledge of geometrical and wave optics, 2D Fourier optics, and optical processors. The course covers in detail topics such as interferometry, polarization optics, and imaging photonic components. Building on image sensors—their physical principles, models, and methods of image information preprocessing—the second part of the course focuses on advanced imaging systems, including image converters, image intensifiers, telescopic and hyperspectral systems, as well as their specialized applications.
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, physical principles of imaging photonics
2. Geometrical and wave optics
3. Imaging systems – design, matrix description and tools for optical system characterization, types, measurement methods
4. Optical aberrations – modeling and characterization
5. Interferometry, interference filters, optical thin films, applications
6. Light polarization, birefringence, polarizing filters, polarimetry, applications
7. Image sensors – CCD and CMOS image sensors: properties and specialized sensors
8. Imaging photonic components – optical elements, filters, spectral elements, active components
9. Image converters and intensifiers – specialized applications (night vision, X-ray systems)
10. Fourier optics – types of subsystems, 2D Fourier transform, 2D correlation, filtering
11. Optical processors, holographic systems
12. Telescopic systems, adaptive optics
13. Multispectral and hyperspectral imaging systems
14. Image processing for photonics – compensation of sensor non-idealities
2. Geometrical and wave optics
3. Imaging systems – design, matrix description and tools for optical system characterization, types, measurement methods
4. Optical aberrations – modeling and characterization
5. Interferometry, interference filters, optical thin films, applications
6. Light polarization, birefringence, polarizing filters, polarimetry, applications
7. Image sensors – CCD and CMOS image sensors: properties and specialized sensors
8. Imaging photonic components – optical elements, filters, spectral elements, active components
9. Image converters and intensifiers – specialized applications (night vision, X-ray systems)
10. Fourier optics – types of subsystems, 2D Fourier transform, 2D correlation, filtering
11. Optical processors, holographic systems
12. Telescopic systems, adaptive optics
13. Multispectral and hyperspectral imaging systems
14. Image processing for photonics – compensation of sensor non-idealities
Exercises outlines
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
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
Literature
[1] Saleh, B. E. A., Teich, M. C.: Základy fotoniky. (4 svazky), Matfyzpress, Praha, 1996.
[2] Goodman, J. W.: Introduction to Fourier Optics, Roberts and Company Publishers, 2005.
[3] Gross, H.: Handbook of Optical Systems Vol. 4, Wiley, 2015.
[4] Rolt, S.: Optical engineering science, Wiley, 2020.
[5] Amigo, J. M.: Hyperspectral imaging, Vol. 32., Elsevier, 2019.
[2] Goodman, J. W.: Introduction to Fourier Optics, Roberts and Company Publishers, 2005.
[3] Gross, H.: Handbook of Optical Systems Vol. 4, Wiley, 2015.
[4] Rolt, S.: Optical engineering science, Wiley, 2020.
[5] Amigo, J. M.: Hyperspectral imaging, Vol. 32., Elsevier, 2019.
Requirements
Knowledge of physics, mathematical analysis, and analysis of signals and systems.
Image Photonics - B2M37OBF
| Credits | 5 |
| Semesters | Winter |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
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
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 outlines
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
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
Literature
[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
[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
Requirements
Knowledge of physics, mathematical analysis, and analysis of signals and systems.