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Course unit, curriculum year 2021–2022
COMP.SGN.300

Advanced Image Processing, 5 cr

Tampere University
Teaching periods
Active in period 4 (7.3.2022–15.5.2022)
Course code
COMP.SGN.300
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Karen Eguiazarian
Responsible 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

07.03.2022 29.04.2022
Active in period 4 (7.3.2022–15.5.2022)