Subject description - AD0M37MOT
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Explanatory Notes
Instructions
Anotation:
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 |
Literature:
| [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. |
Requirements:
see moodle.kme.fel.cvut.cz
Keywords:
Image sensors, displays, 3D imaging
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| Page updated 25.4.2025 17:53:37, semester: Z/2026-7, L/2025-6, Z/2024-5, L/2026-7, L/2024-5, Z/2025-6, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |