Michaël Unser
EPFL STI IMT LIB
BM 4136 (Bâtiment BM)
Station 17
1015 Lausanne
+41 21 693 51 75
+41 21 693 11 85
Office: BM 4136
EPFL › STI › IEM › LIB
Website: https://bigwww.epfl.ch/
+41 21 693 51 75
Office: BM 4136
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDEE-ENS
+41 21 693 51 75
Office: BM 4136
EPFL › SB › SB-SMA › SMA-ENS
Website: https://sma.epfl.ch/
EPFL IMAGING
ELE 130 (Bâtiment ELE)
Station 11
CH-1015 Lausanne
+41 21 693 51 75
Office: BM 4136
EPFL › VPA › VPA-AVP-CP › IMAGING › IMAGING-GE
Expertise
Research unit
Awards
IEEE Signal Processing Society Technical Achievement Award
2008
Teaching & PhD
PhD Students
Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Yan Liu, Mehrsa Pourya, Zhiyuan Hu
Past EPFL PhD Students
Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, Florian Luisier, Kunal Narayan Chaudhury, Pouya Dehghani Tafti, Matthieu Guerquin-Kern, Jean-Charles Baritaux, Aurélien Bourquard, Ricard Delgado Gonzalo, Ulugbek Kamilov, Masih Nilchian, Emrah Bostan, Zsuzsanna Püspöki, Daniel Andreas Schmitter, Virginie Uhlmann, Julien René Fageot, Pedram Pad, Anaïs Badoual, Laurène Donati, Harshit Gupta, Thanh-An Michel Pham, Shayan Aziznejad, Thomas Jean Debarre, Pakshal Narendra Bohra, Alexis Goujon
Courses
Fundamentals of Image Analysis
EE-805
This summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants' own image-analysis software.
Image processing I
MICRO-511
Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging.
Image processing II
MICRO-512
Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging.
Signals and systems I (for MT)
MICRO-310(a)
Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications.
Signals and systems I (for SV)
MICRO-310(b)
Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications.