Computational optical imaging
MICRO-421
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Computational Imaging Optics MICRO-421
Practical information
Lecturer: Prof. Demetri Psaltis demetri.psaltis@epfl.ch
Assistants: Ilker Oguz ilker.oguz@epfl.ch, Felix Wechsler felix.wechsler@epfl.ch, Ulas Dinç niyazi.dinc@epfl.ch
Time: Lecture Fridays 10:15 to 12:00 in-class ELG120.
Exercise. Fridays 12:15 to 13:00 in class ELG120.
Graded in class exercise: Wednesdays 11:15 to 12:00 in class ELG120
Exercise Sessions:
We introduce the weekly topic in the Friday exercise session. On Wednesday of the following week an exercise on the same topic will be carried out in class, submitted at the end of class though the moodle and graded
The grades per homework are:
- 4/4: fully correct, minor mistakes
- 3/4: mostly correct, few mistakes
- 2/4: partially correct, many mistakes
- 1/4: mostly wrong, some good approaches
- 0/4: major misunderstandings or no submission
The notebooks for all practical tasks are uploaded on this GitHub repository: https://github.com/EPFL-LAPD/Micro-421-Computational-optical-imaging-2025
We are going to use Python. So either install Python locally or use Google Colab.
Grading:
- 60% on weekly graded exercises; of the 13 exercises, the top 10 will be considered for the grade.
- 40% Final exam
Literature
Introduction to Fourier Optics, Joseph Goodman
- Human vison (File)
- Free space propagation (File)
- review paper (File)
- Additional Lecture notes (File)
- Lecture 1a - Human Vision - PDF (File)
- Lecture 1b - Free-space Propagation - PDF (File)