CTU FEE Moodle
Advanced Interactive Image Manipulation
B232 - Summer 23/24
Advanced Interactive Image Manipulation - B4M39AIM
| Credits | 4 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | undefined |
| Extent of teaching | 2P+1C |
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.
Study targets
No data.
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
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 outlines
1. Monadic Operations
2. Fourier Transform
3. Convolution
4. Non-linear Filtering
5. Image Editing
6. Image Segmentation
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.
[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
No data.