BE4M33DZO - Digital Image 2024/2025

This course presents an overview of basic methods for digital image processing. Students practice the gained knowledge on six implementation tasks, which will help them understand the concepts and use them to solve practical problems.

Students are expected to know topics from calculus, linear algebra, statistics and probability to the extent taught at CTU in Prague, FEE. Basic programming skills are also expected, especially in MATLAB.

Lecturers:

• Ondřej Drbohlav (CTU in Prague, FEE, Dept. of Cybernetics, room KN:E-215)
• Daniel Sýkora (CTU in Prague, FEE, Dept. of Computer Graphics and Interaction, room KN:E-422)

Place and Time: Wednesday 09:15am-10:45am, Lecture Hall KN:E-301

Extent: 2 hours weekly

Lab Assistants:

• Jan Čech (CTU in Prague, FEE, Department of Cybernetics, Room: KN:G-2)
• Radoslav Škoviera (CTU in Prague, CIIRC, Room:JP:B-611a)
• Daniel Sýkora (CTU in Prague, FEE, Department of Computer Graphics and Interaction, Room: KN:E-422)
• Ondřej Drbohlav (CTU in Prague, FEE, Department of Cybernetics, Room: KN:E-215)

Place and Time: Tuesday 2:30pm-4:00pm, Lab Room KN:E-230

Extent: 2 hours weekly

In total, it is possible to obtain 60 points from all assignments. In order to pass labs, student have to obtain at least 30 points.

The exam consists of two parts, written test and short oral part. The written part consist of a number of questions and problems covering all the course topics:

• Monadic operations (simple modifications of pixel intensity, histogram equalization and mapping)
• Fourier transform (formulation, properties, sampling theorem)
• Convolution (formulation, properties, speed-up methods, applications)
• Image deblurring (formulation, solution using Wiener filter)
• Bilateral filter (formulation, speed-up methods, applications)
• Image editing in the gradient domain (formulation, solution, applications)
• Image deformation (1, 2, 3, 4-point)
• Image registration (translation, solution methods)
• Image registration (translation, rotation, and scaling using Fourier-Mellin)
• Image segmentation (formulation, solution using maximum flow, applications)
• Image segmentation (formulation, solution using random walker, applications)

The oral part is short and serves for going over the tests and clarifying anything as needed. The total of 40 points can be obtained for the written test. To pass the exam, a minimum of 20 points is required.

The final grade is determined by the sum of the points obtained from the labs (maximum 60) and from the exam (maximum 40):

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