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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

NI-DZO Digital Image Processing Extent of teaching: 2P+1C
Instructor: Completion: Z,ZK
Department: 18102 Credits: 4 Semester: L

Annotation:
This course presents a comprehensive overview of modern methods for interactive editing of digital images and video. It mainly deals with practical algorithms that are both easy to implement and have an interesting theoretical basis. Visually attractive applications provide better understanding of basic theoretical background that is also valuable outside the domain of digital image processing. This course will introduce algorithms solving the following practical applications: edge-aware editing, tone mapping, HDR compression, de-blurring in frequency domain, abstraction, hybrid images, gradient domain editing, seamless image stitching and cloning, digital photo-montage, color-to-gray conversion, context enhancement, interactive as-rigid-as-possible image deformation, free-form image registration, texture synthesis, interactive segmentation, colorization, painting, adding depth, alpha matting.

Lecture syllabus:
1. Monadic Operations
2. Fourier Transform
3. Convolution
4. Linear Filtering
5. Non-linear Filtering
6. Image Editing
7. Image Deformation
8. Image Registration 1
9. Image Registration 2
10. Image Registration 3
11. Image Segmentation 1
12. Image Segmentation 2
13. Reserved

Seminar syllabus:
1. Monadic Operations
2. Fourier Transform
3. Convolution
4. Non-linear Filtering
5. Image Editing
6. Image Segmentation

Literature:
[1] He J., Kim C.-S., Kuo C.-C. J.: Interactive Segmentation Techniques: Algorithms and Performance Evaluation, Springer, 2014.
[2] Radke R. J.: Computer Vision for Visual Effects, Cambridge University Press, 2012.
[3] Goshtasby A. A.: Image Registration: Principles, Tools and Methods, Springer, 2012.
[4] Paris S., Kornprobst P., Tumblin J., Durand F.: Bilateral Filtering: Theory and Applications, Now Publishers, 2009.
[5] Gonzalez R. C., Woods R. E.: Digital Image Processing (3rd Edition), Prentice Hall, 2008.
[6] Šonka M., Hlaváč V., Boyle R.: Image Processing, Analysis and Machine vision (3rd Edition), Thomson Learning, 2007.
[7] Pratt W.: Digital Image Processing (3rd Edition), John Wiley, 2004.

Requirements:
Elements of Calculus (BIE-ZMA) Linear Algebra (BIE-LIN) Probability and Statistics (BIE-PST) Programming and Algorithmics 2 (BIE-PA2) Graph Algorithms and Complexity Theory (BIE-GRA)

Informace o předmětu a výukové materiály naleznete na https://moodle-vyuka.cvut.cz/course/view.php?id=5095

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
NI-PB.2020 Computer Security V 2
NI-ZI.2020 Knowledge Engineering V 2
NI-SPOL.2020 Unspecified Branch/Specialisation of Study V 2
NI-TI.2020 Computer Science V 2
NI-TI.2023 Computer Science V 2
NI-NPVS.2020 Design and Programming of Embedded Systems V 2
NI-PSS.2020 Computer Systems and Networks V 2
NI-MI.2020 Managerial Informatics V 2
NI-SI.2020 Software Engineering (in Czech) V 2
NI-SP.2020 System Programming V 2
NI-WI.2020 Web Engineering V 2
NI-SP.2023 System Programming V 2
BI-SPOL.2015 Unspecified Branch/Specialisation of Study V Není
BI-WSI-PG.2015 Web and Software Engineering V Není
BI-WSI-WI.2015 Web and Software Engineering V Není
BI-WSI-SI.2015 Web and Software Engineering V Není
BI-ISM.2015 Information Systems and Management V Není
BI-ZI.2018 Knowledge Engineering V Není
BI-PI.2015 Computer engineering V Není
BI-TI.2015 Computer Science V Není
BI-BIT.2015 Computer Security and Information technology V Není
BI-SPOL.21 Unspecified Branch/Specialisation of Study V Není
BI-PI.21 Computer Engineering 2021 (in Czech) V Není
BI-PG.21 Computer Graphics 2021 (in Czech) V Není
BI-MI.21 Business Informatics 2021 (In Czech) V Není
BI-IB.21 Information Security 2021 (in Czech) V Není
BI-PS.21 Computer Networks and Internet 2021 (in Czech) V Není
BI-PV.21 Computer Systems and Virtualization 2021 (in Czech) V Není
BI-SI.21 Software Engineering 2021 (in Czech) V Není
BI-TI.21 Computer Science 2021 (in Czech) V Není
BI-UI.21 Artificial Intelligence 2021 (in Czech) V Není
BI-WI.21 Web Engineering 2021 (in Czech) V Není


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška