Course detail
Image Processing (in English)
FIT-ZPOeAcad. year: 2020/2021
Introduction to image processing, image acquiring, point and discrete image transforms, linear image filtering, image distortions, types of noise, optimal image filtering, non-linear image filtering, watermarks, edge detection, segmentation, motion analysis, loseless and lossy image compression
Language of instruction
Number of ECTS credits
Mode of study
Offered to foreign students
Learning outcomes of the course unit
Students will improve their teamwork skills and in exploitation of "C" language.
Prerequisites
Programming language C, basic knowledge of computer graphics, mathematical
analysis and linear algebra.
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
- recommended prerequisite
Computer Graphics
Basic literature
Recommended reading
Jahne, B.: Handbook of Computer Vision and Applications, Academic Press, 1999, ISBN 0-12-379770-5
Russ, J.C.: The Image Processing Handbook, CRC Press 1995, ISBM 0-8493-2516-1
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction, representation of image, linear filtration (11. 2. 2021 Zemčík slides, slides, slides, demo)
- Point image transforms (18. 2. 2021 Beran slides, demo.zip)
- Image acquisition (25. 2. 2021 Zemčík slides)
- Image distortion, types of noise, optimal filtration (4. 3. 2021 Španěl slides)
- Edge detection, segmentation (11. 3. 2020 Beran slides, examples)
- Discrete image transforms, FFT, relationship with filtering (18. 3. 2021 Zemčík slajdy a slides)
- DCT, Wavelets (26. 3. 2020 Bařina slides)
- Green Thursday - lecture cancelled (1. 4. 2021)
- Resampling, warping, morphing (8. 4. 2021 Zemčík slides)
- Test, Project status presentation, mathematical morphology (15. 4. 2021 Beran slides) Link
- Watermarks (22. 4. 2021 Zemčík slides, demo)
Link: https://teams.microsoft.com/l/meetup-join/19%3ad193be94e23f48a5bcb0c981720d24d2%40thread.tacv2/1619070910179?context=%7b%22Tid%22%3a%22c63ce729-ca17-4e52-aa2d-96b79489a542%22%2c%22Oid%22%3a%220bf14ab6-c802-4946-b8f3-c91e9e2d1de3%22%7d - Lecture from industry, motion analysis (29. 4. 2021, Zoner company)
- Conclusion (6. 5. 2021, Zemčík/Beran slides)
Project
Teacher / Lecturer
Syllabus