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Accueil > Formations > Master MVA > Présentation des cours
Sub-pixel image processing
Lecturer : Lionel MOISAN, (Université Paris Descartes)
Cours en français mais polycopié en anglais
Objective of the course :
Explore ways (and applications) of linking continuous and discrete image models: How to translate a continuous image processing model into a discrete numerical algorithm? Conversely, how to extract geometric informations from a discrete array of pixels?
Topics :
- The image formation process: geometry, diffraction, sampling
- FFT- and Spline-based interpolations, lossless geometric transforms
- Image reduction and the aliasing/ringing/blur trade-off
- Implementation of differential operators, image iterative filtering
- Sub-pixel image geometry
- Phase spectrum and applications: sharpness metrics, texture synthesis
Prerequisites :
Basics of Fourier analysis and differential calculus.
Organization of courses :
- Half of course sessions, half of exercise/computer practice sessions
References :
- L. Moisan, Modeling and Image Processing (available on the course web page)
- L. Moisan, ``Periodic plus smooth image decomposition'', Journal of Mathematical Imaging and Vision, vol 39:2, pp. 161-179, 2011 (available on the course web page)
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