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250008 VO Mathematical Image Processing (2020S)

3.00 ECTS (2.00 SWS), SPL 25 - Mathematik

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants

Language: English

Examination dates

Tuesday 16.06.2020 Monday 29.06.2020

Lecturers

Otmar Scherzer

Classes (iCal) - next class is marked with N

Due do the current situation, the lectures are offered via home -learning via Moodle.

    
    Thursday
    05.03.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    19.03.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    26.03.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    02.04.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    23.04.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    30.04.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    07.05.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    14.05.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    28.05.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    04.06.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    18.06.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock
    
    Thursday
    25.06.
    11:30 - 13:00
    Seminarraum 11  Oskar-Morgenstern-Platz 1  2.Stock

Information

Aims, contents and method of the course

Basic concepts of mathematical image processing, such as statistics,
variational methods and PDEs are explained.

Assessment and permitted materials

Due do the current situation, the lectures are offered via home -learning via Moodle. For the practicum the exercise need to be submitted electronically. The lecture requires passing an oral exam.

Minimum requirements and assessment criteria

Oral Exam (if possible) at the end of the lectures-

Examination topics

Lecture Notes

Reading list