This course will cover a wide range of basic and advanced techniques
used for image processing and image reconstruction, with a special focus
on physical science applications. Following a problem-solving
philosophy, the course will motivate all techniques and fundamental
concepts with problems drawn from real-life applications.
The lecture will be roughly devided into three parts, one focusing on basics of image processing and data anlysis, one part based on optics, wave propagation and the limits of imaging, and one part on more abstract approaches to data analysis and optimization.
The course will try to give a rarther broad overview over recurring topics in all fields of imaging, focusing more on an understanding of underlying principles than on rigorous mathematical derivations.
The lecture will be roughly devided into three parts, one focusing on basics of image processing and data anlysis, one part based on optics, wave propagation and the limits of imaging, and one part on more abstract approaches to data analysis and optimization.
The course will try to give a rarther broad overview over recurring topics in all fields of imaging, focusing more on an understanding of underlying principles than on rigorous mathematical derivations.
- Dozent: Klaus Achterhold
- Dozent: Elena Herzen
- Dozent: Julia Herzen