Subject description - B4M39AIM

Summary of Study | Summary of Branches | All Subject Groups | All Subjects | List of Roles | Explanatory Notes               Instructions
B4M39AIM Advanced Interactive Image Manipulation Extent of teaching:2+1c
Guarantors:Sýkora D. Roles:V Language of
teaching:
Teachers:Sýkora D. Completion:Z,ZK
Responsible Department:13139 Credits:4 Semester:L

Anotation:

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, deblurring in frequency domain, abstraction, hybrid images, gradient domain editing, seamless image stitching and cloning, digital photomontage, color-to-gray conversion, context enhancment, interactive as-ridig-as-possible image deformation, free-form image registration, texture synthesis, interactive segmentation, colorization, painting, adding depth, alpha matting.

Course outlines:

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

Exercises outline:

1. Introduction to assignments
2. Selection of assignments
3. Reading papers
4. Implementation
5. Testing
6. Submission of reports
7. Presentation

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:

Note:

http://dcgi.felk.cvut.cz/~sykorad/aim

Webpage:

http://dcgi.felk.cvut.cz/~sykorad/aim

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPOI1 Artificial Intelligence V
MPOI5NEW Software Engineering V
MPOI4NEW Computer Graphics and Interaction V
MPOI5 Software Engineering V
MPOI4 Computer Graphics and Interaction V
MPOI3 Computer Vision and Image Processing V
MPOI2 Computer Engineering V


Page updated 16.7.2019 07:52:36, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)