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SGN-3057 Digital Image Processing II, 6 cr |
Vladislav Uzunov, Aram Danielyan, Karen Eguiazarian
Lecture times and places | Target group recommended to | |
Implementation 1 |
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50% attendance at lectures is required. At least 30% of classroom-exercise tasks and 3 assignments.
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After completing the course module, the student will be able to understand the theory behind wavelets and multiresolution processing, image segmentation and compression, object recognition, as well as advanced image representation methods. A student will be able also to use this knowledge in different practical image processing application tasks (laboratory works will help in this).
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Image representation: wavelet and multiresolution, local and non-local representations | ||
2. | Image data compression: EZT, SPIHT, JPEG, JPEG2000 | ||
3. | Object recognition: statistical classifiers, neural networks, structural methods | ||
4. | Image filtering, segmentation and restoration. | ||
5. | Practical image processing tasks. |
Course grade is computed based on four units as follows: Classroom exercises, 40% of the mark. First laboratory work, 10% of the mark. Second laboratory work, 20% of the mark. Third laboratory work, 30% of the mark All four units must be passed otherwise final mark is not given. There is no exam.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | "Digital Image Processing" | R. Gonzalez and R. Woods | 2nd ed., Prentice-Hall, 2002 | English | |||
Book | "Local Approximation Techniques in Signal and Image Processing" | V.Katkovnik, K.Egiazarian, and J.Astola | 978-0819460929 | English | |||
Book | "The Image Processing Handbook" | John Russ | Fourth Edition, CRC Press, 2002 | English | |||
Book | "The Transform and Data Compression Handbook" | K. Rao and P. Yip | CRC Press, 2001 | English |
Course | Mandatory/Advisable | Description |
SGN-3010 Digital Image Processing I | Mandatory | |
SGN-3016 Digital Image Processing I | Mandatory |
Additional information about prerequisites
Either SGN-3010 or SGN-3016 is required.
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 | Lectures Excercises Laboratory assignments |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |