SGN-31007 Advanced Image Processing, 5 cr
Additional information
Suitable for postgraduate studies.
Person responsible
Sergio Moreschini, Karen Eguiazarian, Filipe Da Graca Gama
Lessons
| Implementation | Period | Person responsible | Requirements |
| SGN-31007 2016-01 | 3 |
Filipe Da Graca Gama Karen Eguiazarian Sergio Moreschini |
Final mark is computed based on the units as follows: - Lecture attendance, - Project work, - Classroom exercises, All units must be passed otherwise final mark is not given |
Learning Outcomes
Students get in-depth view of selected advanced topics of image processing and perform practical tasks in image processing laboratory.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Transform-based image representation: unitary (Fourier, DCT, wavelets), redundant (pyramids, wavelet packets) | ||
| 2. | Image data compression (lossless, near-lossless, lossy) | ||
| 3. | image restoration (denoising, deblurring, demosaicing, inpainting, etc.) |
Instructions for students on how to achieve the learning outcomes
Course grade is computed based on four units as follows: Lectures attendance: mandatory, Classroom exercises: 50% of the mark. Laboratory works: 50 % of the mark. All units must be passed otherwise final mark is not given. There is no exam.
Assessment scale:
Numerical evaluation scale (0-5)
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Book | Digital Image Processing | R. Gonzalez and R. Woods | No | |||
| Book | Local Approximations in Signal and Image Processing | V.Katkovnik, K.Egiazarian, and J.Astola | No | |||
| Lecture slides | K. Egiazarian | No |
Prerequisites
| Course | Mandatory/Advisable | Description |
| SGN-11000 Signaalinkäsittelyn perusteet | Mandatory | |
| SGN-11006 Basic Course in Signal Processing | Mandatory | |
| SGN-12000 Kuvan- ja videonkäsittelyn perusteet | Mandatory | |
| SGN-12006 Basic Course in Image and Video Processing | Mandatory |
Correspondence of content
| Course | Corresponds course | Description |
| SGN-31007 Advanced Image Processing, 5 cr | SGN-31006 Image and Video Processing Techniques, 6 cr |