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Fakultät für Elektrotechnik und Informationstechnik

Advanced Imaging Systems

Dates

Lecture Type

Lecturer

Scope
per week

Place

Dates

Start

Lecture
Dr. Kay Wohlfarth
2 Unit(s) P1-O4-207 Wednesday 14:00 - 16:00 o'clock 15th of October 2025
Exercise
Dr. Kay Wohlfarth
1 Unit(s) P1-O1-108 Wednesday 16:00 - 17:00 o'clock 22nd of October 2025

Advanced Imaging Systems in a nutshell…

Discover how light, waves, and cutting-edge technology come together in Advanced Imaging Systems — a course that bridges physics, engineering, and real-world applications. From the fundamentals of optics and signal processing to powerful imaging tools used in space exploration, medical diagnostics, autonomous systems, and environmental monitoring, this lecture takes you inside the science behind how we see and measure the world. Drawing on classic texts and the latest research, you’ll gain both a solid theoretical foundation and insight into emerging technologies shaping the future of imaging.

Content

  1. Engineering Optics and Signal Processing: Wave Optics, Geometric Optics, Fourier Optics, Diffraction, Lenses, Detectors, Image Processing Fundamentals, Inverse Problems
  2. Imaging Systems for Space Science: e.g. Spectrometers, Space Telescopes, Instruments for Planetary Exploration, Instruments for Earth Observation and Environmental Monitoring, Radio Telescopes
  3. Medical Imaging Systems: e.g. Computer Tomography, Magnetic Resonance Tomography
  4. Imaging Systems for Autonomous systems and manufacturing: e.g. Radar for autonomous driving, non-destructive testing

Literature

  1. Iizuka, K. (2019). Engineering Optics (4th ed.). Cham: Springer
  2. Born, M., & Wolf, E. (2019). Principles of optics: Electromagnetic theory of propagation, interference and diffraction of light (60th anniversary ed.). Cambridge University Press.
  3. Schroeder, D. J. (2000). Astronomical Optics (2nd ed.). San Diego; Tokyo: Academic Press.
  4. Maier, A., Steidl, S., Christlein, V., & Hornegger, J. (Eds.). (2018). Medical Imaging Systems: An Introductory Guide (Lecture Notes in Computer Science, Vol. 11111). Cham: Springer
  5. Recent publications in the field

Exercises

You need to register for the Moodle-Room in order to access the data. You can register for the Moodle-room by registering for the course in the LSF.

Acquisition of credit points in the ECTS

5 Credits upon sucessful examination

Kontakt