Digital Image Processing

It is not possible to register for the course NI-DZO.23 if the student is concurrently registered for or has already completed the course AD4M33DZO (mutually exclusive courses).

It is not possible to register for the course NI-DZO.23 if the student is concurrently registered for or has already completed the course A4M33DZO (mutually exclusive courses).

It is not possible to register for the course NI-DZO.23 if the student is concurrently registered for or has already completed the course B4M33DZO (mutually exclusive courses).

It is not possible to register for the course NI-DZO.23 if the student is concurrently registered for or has already completed the course M33DZO (mutually exclusive courses).

Garant předmětu:

Daniel Sýkora

Lecturer:

Daniel Sýkora

Tutor:

Daniel Sýkora

Supervisor:

Department of Software Engineering

Synopsis:

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.

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)

Syllabus of lectures:

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

Syllabus of tutorials:

1. Monadic Operations

2. Fourier Transform

3. Convolution

4. Non-linear Filtering

5. Image Editing

6. Image Segmentation

Study Objective:

Study materials:

[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.

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/b4m33dzo/start

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomT2:C3-135 Sýkora D. 16:15–17:45 (lecture parallel1) Dejvice T2:C3-135
Tue	roomKN:E-230 Sýkora D. 14:30–16:00 (lecture parallel1 parallel nr.101) Karlovo nám. Laboratoř PCroomKN:E-230 Sýkora D. 16:15–17:45 (lecture parallel1 parallel nr.102) Karlovo nám. Laboratoř PC
Wed
Thu
Fri

The course is a part of the following study plans: