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teaching:st21:vl:mb [2021/04/05 18:08] ipa created |
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| - | ====== Mathematical Image Processing ====== | + | ====== Course: Mathematical Image Processing ====== |
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| + | * **Preliminary Discussion:** online via Zoom at 11:15 on April 14th 2021 | ||
| + | * **Target Audience:** Bachelor/Master in Mathematics, Master Scientific Computing and related fields | ||
| + | * **Time:** every Wednesday 11:15-12:45 (lecture); Tuesday 09:30-11:00 (tutorial); | ||
| + | * **Place:** online, Zoom, we will use Microsoft Teams (code for joining:prpd1wn) for communication and distributing lecture content. | ||
| + | * **Lecturer:** [[https://www.stpetra.com|Stefania Petra]] | ||
| + | * **Language:** English | ||
| + | * **Registration:** you need to activate your UNI ID using this [[https://it-service.uni-heidelberg.de/anfrage/teams_benutzer_freischalten|form]] and join Teams (code for joining: prpd1wn) | ||
| ===== Content ===== | ===== Content ===== | ||
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| The content of the lecture is targeted at students of mathematics and scientific computing with a long-term interest in mathematical imaging, to prepare them for more advanced topics closer to research. The lecture notes are available and are self-contained and basic mathematical tools from functional and convex analysis will be provided. In an effort to help students draw relationships between the theoretical concepts and practical applications, the course is accompanied by an optional programming project. | The content of the lecture is targeted at students of mathematics and scientific computing with a long-term interest in mathematical imaging, to prepare them for more advanced topics closer to research. The lecture notes are available and are self-contained and basic mathematical tools from functional and convex analysis will be provided. In an effort to help students draw relationships between the theoretical concepts and practical applications, the course is accompanied by an optional programming project. | ||
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| + | ===== Literature ===== | ||
| + | * K. Bredies, D. Lorenz, Mathematische Bildverarbeitung: Einführung in Grundlagen und moderne Theorie, Vieweg+Teubner, 2011 | ||
| + | * R.T. Rockafellar, R.J.-B. Wets, Variational Analysis, Springer, 2004 | ||
| + | * H.H. Bauschke, P.L. Combettes, Convex Analysis and Monotone Operator Teory in Hilbert Spaces, Springer, 2011 | ||
| + | * H. Attouch, G. Buttazzo, G. Michaille, Variational Analysis in Sobolev and BV Spaces, SIAM, 2006 | ||
| + | * F. Natterer, F. Wübbeling. Mathematical Methods in Image Reconstruction, SIAM 2001 | ||
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| + | ===== Lecture Notes ===== | ||
| + | * Week 1 | ||