SGN-31007 Advanced Image Processing, 5 cr
Lisätiedot
Suitable for postgraduate studies.
Vastuuhenkilö
Qin He, Peter Kocsis, Ugur Akpinar, Karen Eguiazarian
Osaamistavoitteet
Students get in-depth view of selected advanced topics of image processing and perform practical tasks in image processing laboratory.
Sisältö
| Sisältö | Ydinsisältö | Täydentävä tietämys | Erityistietämys |
| 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.) | ||
| 4. | study of selected topics in image processing: projects |
Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi
Course grade is computed based on four units as follows: Lectures attendance: mandatory, Classroom exercises: 50% of the mark. Project work: 50 % of the mark. All units must be passed otherwise final mark is not given. There is no exam.
Arvosteluasteikko:
Numerical evaluation scale (0-5)
Oppimateriaali
| Tyyppi | Nimi | Tekijä | ISBN | URL | Lisätiedot | Tenttimateriaali |
| 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 |
Esitietovaatimukset
| Opintojakso | P/S | Selite |
| SGN-11007 Introduction to Signal Processing | Mandatory | 1 |
| SGN-12007 Introduction to Image and Video Processing | Mandatory | 2 |
| SGN-11000 Signaalinkäsittelyn perusteet | Mandatory |
1 . Either SGN-11006 or SGN-11007
2 . Either SGN-12006 or SGN-12007 or SGN-12000
Vastaavuudet
| Opintojakso | Vastaa opintojaksoa | Selite |
| SGN-31007 Advanced Image Processing, 5 cr | SGN-31006 Image and Video Processing Techniques, 6 cr | Muutettu takaisin uusi vastaa vanhaa HOPSin käyttäytymisen vuoski 27.6.2018 jk |