Image-Processing-In-Physics

Graduate Level Course of Technical University of Munich

About this course

Course is in English
2 hours/week lecture, 1 hour/week tutorial
Computer exercises are given as homework
Tutorials are discussion of homework exercises
Must submit at least 3 of the 11 homework exercises in order to sit the exam
Oral exams at end of semester
5 ECTS
Overview of recurring topics from all fields of imaging in physics
Essential tools and expressions used in imaging
Broad rather than in-depth
Focused on underlying principles
Few rigorous mathematical derivations
Oriented towards practical implementations

Course content

A. Basics of Image Processing

A.1 Image processing in spatial domain
A.2 Image processing in Fourier domain
A.3 Sampling, interpolation and pixel representations
A.4 Segmentation

B. Wave optics and instrumentation

B.1 Detectors & noise
B.2 Wave propagation
B.3 Phase retrieval
B.4 Grating-based imaging

C. Abstract algorithms and optimization

C.1 Tomography
C.2 Least squares optimization
C.3 Wavelets

Exercise Tutorials

Hands-on computer exercises on the topics covered in class in Python