Teaching

Pascal Peter offers lectures and seminars in the area of mathematically well-founded image processing, as well as basic courses in mathematics. On this page you find an overview of all current and past lectures. This is also the right place if you intend to write a Bachelor's or Master's thesis under the supervision of Pascal Peter,

Pascal Peter offers lectures and seminars in the area of mathematically well-founded image processing, as well as basic courses in mathematics. On this page you find an overview of all current and past lectures. This is also the right place if you intend to write a Bachelor's or Master's thesis under the supervision of Pascal Peter,

Lectures and Seminars

Current Semester
Previous Semesters

Lectures and Seminars

Current Semester

Image Compression

Previous Semesters

Bachelor and Master Theses

Getting Started with Your Thesis

Information for students who are interested in starting a BSc or MSc thesis.

  • Thematically, you should be interested in image processing, compression, or the mathematical foundations of deep learning.
  • You should have attended a suitable amount of topic-related lectures.
  • You can propose your own topic ideas or ask for recommendations.
  • Check study regulations and the PS Mint page for general information about BSc and MSc theses.
  • Contact Pascal Peter for a initial meeting to verify that you fulfil all requirements and to discuss first topic propositions.
Theses in Progress or Preparatory Phase
  • Hevra Petekkaya: Mask Density Estimation with Deep Learning
  • Beste Ekmen: Inpainting Artworks with Style in Mind
  • Enes Ulus: Prediction Strategies for Inpainting-based Compression
  • Jorge Augusto Calvimontes Robles: Bridging Deep Learning and Variational Models: Leveraged Loss and Parameter Optimization for Exposure Fusion
  • Aseer Ahmad Ansari: Deep-Learning Mask Optimisation for Osmosis
  • Moritz Altmeyer:  Coding Strategies for Inpainting-based Compression with Simple Ingredients
Finished Theses
  • Kevin Baum: GPGPU Supportet Diffusion-Based Naive Video Compression. M.Sc. Thesis in Computer Science, 2013.
  • Alexander Scheer: Entropy Coding for PDE-Based Image Compression. B.Sc. Thesis in Computer Science, 2014.
  • Zhao Jin: Video Coding with Three-Dimensional Diffusion. M.Sc. Thesis in Computers and Communications, 2014
  • Frank Nedwed: A Probabilistic Approach to Image Compression Using Subdivisions. B.Sc. Thesis in Computer Science, 2015.
  • Hui Men: Scene-Detection for Diffusion-Based Video Compression. M.Sc. Thesis in Computer Science, 2016.
  • Marie Mühlhaus: Compressing Binary Images with the Medial Axis Transform. B.Sc. Thesis in Computer Science.
  • Robin Dirk Adam: Denoising by Inpainting. M.Sc. Thesis in Computer Science, 2016.
  • Sreenivas Narashima Murali: Non-Local Patch based Error Measure for Texture Classification. M.Sc. Thesis in Visual Computing, 2016.
  • Jan Contelly: Audio Signal Compression with Inpainting Ideas. M.Sc. Thesis in Computer Science, 2016.
  • Jillian Clark: Adaptive Quantisierung für PDE-basierte Bildkompression. Thesis in Computer Science for High School Teachers, 2018.
  • Merlin Köhler: Learning Optimal Data for Sparse Image Representation. M.Sc. Thesis in Computer Science, 2018.
  • Vincent Kübler: Inpainting-based Compression of Noisy Images. B.Sc. Thesis in Computer Science.
  • Abhishekh Goswami: Inpainting-based Compression with Simple Ingredients. M.Sc. Thesis in Visual Computing, 2018.
  • Lena Karos: Optimal Data Selection for Exemplar-Based Inpainting. M.Sc. Thesis in Computer Science, 2018.
  • Niklas Kämper: Encoding Strategies for Pixel Data in PDE-based Compression. B.Sc. Thesis in Computer Science, 2019.
  • Rahul Mohideen: Efficient Encoding Strategies for Inpainting-Based Compression with Exact Masks. M.Sc. Thesis in Visual Computing, 2019.
  • Niklas Kämper: Neural Decoding for RJIP. M.Sc. Thesis in Computer Science, 2020.
  • Moritz Kunz: Block-based Image Compression. M.Sc. Thesis in Mathematics, 2021.
  • Yaroslav Mykoliv: Event Compression. M.Sc. Thesis in Computer Science, 2021.
  • Huasheng Chen: Structure-guided Exemplare-based Inpainting. B.Sc. Thesis in Computer Science, 2022.
  • Matthias Hock: End-to-end Image Compression with CNNs. M.Sc. Thesis in Computer Science, 2023.
  • Paul Bungert: Imate Stitching with Osmosis. M.Sc. Thesis in Computer Science, 2023.
  • Tom Fischer: Optical Flow with Explicit Diffusion. M.Sc. Thesis in Computer Science, 2023.
  • Julia Gierke: Skeletonisation Scale-Spaces. B.Sc. Thesis in Mathematics, 2024.
  • Huasheng Chen: Patch-based Inpainting with Neural Networks. M.Sc. Thesis in Computer Science, 2024.

    • Teaching Awards

Busy Beaver Awards of the CS Student Council

  • Summer 2014: Image Acquisition Methods
  • Summer 2017: Image Compression
  • Winter 2018: Image Acquisition Methods
  • Summer 2019: Image Compression
  • Winter 2023: Differential Equations in Image Processing and Computer Vision
  • Summer 2024: Mathematik für Informatiker*Innen 2 

Verantwortlich für die Inhalte dieses Webangebots

Dr. Pascal Peter
Akademischer Rat
Campus E2 4, 66123 Saarbrücken
Tel.: 0681 302-58096
peter(at)math.uni-saarland.de