Course unit, curriculum year 2023–2024
COMP.SGN.300
Advanced Image Processing, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 4 (4.3.2024–31.5.2024)
Course code
COMP.SGN.300Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Karen EguiazarianResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
- Transform-based image representation: unitary (Fourier, DCT, wavelets), redundant (pyramids, wavelet packets)
- Image data compression (lossless, near-lossless, lossy)
- image restoration (denoising, deblurring, demosaicing, inpainting, etc.)
- study of selected topics in image processing: projects
Learning outcomes
Prerequisites
Compulsory prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
Participation in teaching
04.03.2024 – 26.04.2024
Active in period 4 (4.3.2024–31.5.2024)