Mathematical Image Processing

Course content

The students understand the of the complex links between their previous mathematical knowledge and the contents of the lecture, understand the theoretical body of the lecture as a whole and master the corresponding methods, are able to analyze and apply the methods of the lecture, know and understand the characterization of the quality of an image through mathematical quantities, know and understand the most important basic tasks in image processing and various methods of solving them.

Content

• Interpolation and sampling, histograms
• Linear and Morphological filters
• A selection from the following topics: frequency methods, sampling theorem, applications of partial differential equations or variational methods.