Course unit, curriculum year 2024–2025
COMP.SGN.300
Advanced Image Processing, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 4 (3.3.2025–31.5.2025)
Course code
COMP.SGN.300Language of instruction
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level 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 %
Common learning outcomes
Information technology and digital skills
Core content
Lectures on selected topics in image processing:
- Wavelets and multiresolution signal processing
- Pyramids, subband coding
- Sampling and interpolation, B-splines and modifications – Image compression, standards and beyond
- Image restoration: local and non-local techniques, denoising, deblurring, dehazing, inpainting, demosaicing and super- resolution
- Deep learning and image processing
- Image visual quality assessment
Learning outcomes
Prerequisites
Compulsory prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
Participation in teaching
03.03.2025 – 26.04.2025
Active in period 4 (3.3.2025–31.5.2025)