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Image and signal processing

Objectives

At the end of this module, the student will have understood and be able to explain (main concepts):
HPC: the computer architectures devoted to high performance computing as well as the main concepts of parallel numerical software development. These elements will be illustrated by classical numerical methods widely used for numerical simulations.
Images: creating images, image manipulation using wavelets and optimisation methods, classical problems and methods in image processing (restoration, segmentation, inpainting, ¿)
The student will be able to:
HPC: choose the appropriate parallelisation approach according to the features of the  target architecture and to participate in the development of parallel numerical simulation software.
Images: design, use and test new image processing methods.

Needed prerequisite


-         knowledge of the main numerical methods for PDE discretisation.
-         knowledge of the main numerical method to compute solution for linear systems.
 
 
Images:
- Fundamentals of linear algebra
- main algorithms and optimisation principles
- basic notions in probability and statistics
- programming basics

Form of assessment

The evaluation of outcome prior learning is made as a continuous training during the semester. According ot the teaching, the assessment will be different: as a written exam, an oral exam, a record, a written report, peers review...