Members of the MIA Group / Bachelor Students

Staff

Diploma or Master Students

Bachelor Students

In progress



1. Julia Gierke: B.Sc. Thesis in Mathematics.


2. Mawlan Kaschgar: B.Sc. Thesis in Mathematics and Computer Science.


3. Joshua Fynn Naumann: B.Sc. Thesis in Computer Science.


4. David Sauber: B.Sc. Thesis in Mathematics and Computer Science.


5. Justus Störk: B.Sc. Thesis in Data Science and Artificial Intelligence.


6. Enes Ulus: B.Sc. Thesis in Mathematics.




Finished



7. Timo Adam: Demosaicing using Nonlinear Anisotropic Diffusion. B.Sc. Thesis in Computer Science, 2011.


8. Sandra Alshabben: Classification of Arteries and Veins in Retinal Images. B.Sc. Thesis in Computer Science, 2011.


9. Tobias Alt: Coupled Optical Flow. B.Sc. Thesis in Computer Science, 2016.


10. Joshua Arens: Classification of Wilms Tumor MRT-Images into Histological Subtypes. B.Sc. Thesis in Computer Science, 2022.


11. Lukas Auer: Shock Filter for Colour Images. B.Sc. Thesis in Computer Science, 2022.


12. Robert Barbey: Randomized Nonlinear Isotropic Diffusion Filtering. Advanced Project Work in Computer Science, 2005.


13. Sebastiano Barbieri: Robustness to Noise of the Chan and Vese Active Contours Model. B.Sc. Thesis in Mathematics, 2006.


14. Oliver Barth: Morphological Interpolation with Anisotropic Self-Snakes. B.Sc. Thesis in Computer Science, 2011.


15. Frank Bauer: Energy-Based Image Denoising with Nonlocal Data and Smoothness Terms. Advanced Project Work in Computer Science, 2007.


16. Kevin Baum: Stützstellenauswahl für diffusionsbasierte Bildkompression unter Berücksichtigung einer Quadrixel-Substruktur-Restriktion. B.Sc. Thesis in Computer Science, 2011.


17. Chris Baumann: A Helmholtz-like Decomposition for Discrete Osmosis and Markow Chains. B.Sc. Thesis in Computer Science, 2014.


18. Iva Baykova: PCA-based Representation of Diffusion Echoes. B.Sc. Thesis in Computer Science, 2016.


19. Youssef Bazine: Maxima for Symmetric Matrices. B.Sc. Thesis in Computer Science, 2008.


20. Tobias Becker: Image Interpolation Methods and Enhancements. B.Sc. Thesis in Computer Science, 2007.


21. Constantin Berhard: An Experimental Approach to PCA based Video Synthesis. B.Sc. Thesis in Computer Science, 2013.


22. Sabrina Blümling: Watershed Transformation on Modified Gradient Data. B.Sc. Thesis in Computer Science, 2008.


23. Andreas Bock: Image Processing with Mathematical Morphology and Medical Applications. B.Sc. Thesis in Computer Science, 2008.


24. Katharina Bonaventura: Non-overlapping Domain Decomposition for Homogeneous Diffusion Inpainting. B.Sc. Thesis in Computer Science, 2021.


25. Bozena von Bormann: Adaptive morphologische Filter. B.Sc. Thesis in Computer Science, 2006.


26. Tim Bruxmeier: Structural Texture Similarity Metrics. B.Sc. Thesis in Computer Science, 2020.


27. Verena Bubel: Bildverarbeitung mit skaleninvarianten Kalkülen. Thesis for High School Teachers in Mathematics, 2014.


28. Thomas Bühler: A Variational Approach to 3D Reconstruction from Multiple Images. B.Sc. Thesis in Computer Science, 2007.


29. Mykola Byelytskyy: A PDE formalization of Retinex theory. B.Sc. Thesis in Computer Science, 2014.


30. Huasheng Chen: Structure-guided Exemplar-based Image Inpainting. B.Sc. Thesis in Computer Science, 2022.


31. Jillian Sarah Clark: Adaptive Quantisierung für PDE-basierte Bildkompression. Thesis for High School Teachers in Computer Science, 2018.


32. Jan Contelly: Gradient Domain Tone Mapping. B.Sc. Thesis in Computer Science, 2013.


33. Holger Dell: Seed Points in PDE-Driven Interpolation. B.Sc. Thesis in Computer Science, 2006.


34. Oliver Demetz: Hairstyle-Simulation with Warping-Based Optic Flow Methods. B.Sc. Thesis in Computer Science, 2006.


35. Rafael Dewes: Edge-Sensitive Demosaicing Via Energy Minimisation. B.Sc. Thesis in Computer Science, 2017.


36. Jan Hendrik Dithmar: Audio Denoising with Non-Local Algorithms from Image Processing. B.Sc. Thesis in Computer Science, 2009.


37. Laura Dörr: Optimisation of Relative Regularisation Parameters. B.Sc. Thesis in Computer Science, 2012.


38. Laura Dörr: Anisotropic Image Reconstruction from a Gradient Field. B.Sc. Thesis in Mathematics, 2013.


39. Patrick Dreher: Stochastische Diffusion von Grauwertbildern. Advanced Project Work in Computer Science, 2003.


40. Michael Eisemann: Matrixwertige Morphologie mit partiellen Differentialgleichungen. Advanced Project Work in Computer Science, 2006.


41. Maike Eißfeller: Iris Detection for Medical Applications Using the Hough Transform. B.Sc. Thesis in Computer Science, 2015.


42. Elias Endres: Comparison of PCA-based Subspace Learning Algorithms on Image and Image Sequences. B.Sc. Thesis in Computer Science, 2022.


43. Damaris Gatzsche: Hessian Domain Methods for Image Editing. B.Sc. Thesis in Computer Science, 2015.


44. Peter Geber: Implementierung von Bildsegmentation und Kantenverbesserung mit Stabilisierten Inversen Diffusionsgleichungen. Advanced Project Work in Computer Science, 2008.


45. Matthias Ghodstinat: Schnelle Morphologie und Medianfilterung. Advanced Project Work in Computer Science, 2006.


46. Daniel Gusenburger: Esploring Disk-Shaped Corner Regions as Seed Points for PDE_based Inpainting. B.Sc. Thesis in Computer Science, 2020.


47. Hans-Joachim Haas: Stochastische Diffusion von Grauwertbildern. B.Sc. Thesis in Computer Science, 2005.


48. Kai Hagenburg: Analytische Betrachtungen eines Regularisierungsverfahrens für Signale und Bilder. B.Sc. Thesis in Computer Science, 2006.


49. Dong Han: Chamfer Matching for Pose Estimation. B.Sc. Thesis in Computer Science, 2006.


50. Ali Hatirnaz: Grat und Tal auf Digitalen Bildern erkennen. B.Sc. Thesis in Computer Science, 2014.


51. Thorsten Haupt: M-Smoothers versus Nonlinear Mean Filters. Advanced Project Work in Computer Science, 2006.


52. Simon Heinzel: Image Compression with Osmosis. B.Sc. Thesis in Computer Science, 2013.


53. Holger Hewener: Verarbeitung und Visualisierung von dreidimensionalen Ultraschalldaten. Advanced Project Work in Computer Science, 2004.


54. Alexander Hewer: Motion Estimation in the Field of Elastrography. B.Sc. Thesis in Computer Science, 2009.


55. Nathalie Hochscheid: H-Matrix Methods in Deconvolution. B.Sc. Thesis in Computer Science, 2010.


56. Matthias Hock: Video Saliency Detection using Optical Flow. B.Sc. Thesis in Computer and Communication Engineering, 2018.


57. Kevin Hoffeld: Optimised region-of-interest reconstruction in computed tomography and laminography using a-priori information. B.Sc. Thesis in Computer Science, 2015.


58. Frederic Hoffmann: Active Contour Models and Gradient Vector Flow. B.Sc. Thesis in Computer Science, 2019.


59. Sebastian Hoffmann: Grey-Value Optimisation in PDE-Based Image Compression. B.Sc. Thesis in Computer Science, 2010.


60. Franziska Huth: Shape Coding with Quadrupoles. B.Sc. Thesis in Computer Science, 2011.


61. Judith Jakob: Die Verwendung des bilateralen Filters zur Bildentrauschung. B.Sc. Thesis in Mathematics, 2009.


62. Stephanie Jennewein: Interpretation nichtlinearer Bildverarbeitungsmethoden anhand ihres Filterechos. B.Sc. Thesis in Computer Science, 2014.


63. Niklas Kämper: Encoding Strategies for Pixel Data in PDE-based Compression. B.Sc. Thesis in Computer Science, 2019.


64. Christian Kariger: Four Variants for Calculating the Focus-of-Expansion. Advanced Project Work in Computer Science, 2007.


65. Marin Katov: Invarianten in der Mustererkennung. B.Sc. Thesis in Computer Science, 2006.


66. Lilli Kaufhold: Variational Methods for the Colourisation of Greyscale Images. B.Sc. Thesis in Mathematics, 2013.


67. Leonhard Keller: PDE-Based Image Reconstruction on the iPhone 4. B.Sc. Thesis in Mathematics, 2011.


68. Mostafa Khabouze: Retina Blood Vessels Detection and Diameter Measurement. Advanced Project Work in Computer Science, 2008.


69. Jörg Knappen: Optic Acceleration in Image Sequence Analysis. B.Sc. Thesis in Computer Science, 2008.


70. Patrick Koberski: Graph Cuts vs. Variational Methods in Image Processing. B.Sc. Thesis in Computer Science, 2009.


71. Peter Markus Korusiewicz: Implicit Finite Differences for Signals B.Sc. Thesis in Mathematics, 2018.


72. Merlin Köhler: Evaluation of the Fujifilm X-Trans Sensor. B.Sc. Thesis in Computer Science, 2016.


73. Karina Kolinsky: Automatic Protein Detection. B.Sc. Thesis in Computer Science, 2016.


74. Michael Krause: Corner Dectection in Digital Images Using Local Tomography. B.Sc. Thesis in Computer Science, 2006.


75. Vincent Kübler: Inpainting-based Compression of Noisy Images. B.Sc. Thesis in Computer Science, 2020.


76. Thomas Leichtweis: Adaptiver Medianfilter mit morphologischen Amöben. Advanced Project Work in Computer Science, 2008.


77. Shujie Li: An Efficient Variant of PDE-Based Inpainting Model. B.Sc. Thesis in Computer Science, 2010.


78. Sven Liefgen: Classification of Natural Images Using Moment Invariants. B.Sc. Thesis in Computer Science, 2018.


79. Steffen Lösch: Depth from Blur. B.Sc. Thesis in Computer Science, 2009.


80. Maria Lushkova: Implementation of a Pattern Matching Method. B.Sc. Thesis in Computer Science, 2009.


81. Andreas Luxenburger: Efficient Diffusion Filtering and Optic Flow Estimation on an Android Smartphone. B.Sc. Thesis in Computer Science, 2011.


82. Nicolas Mach: Progressive Modi für Bildkomprimierungsverfahren, die partielle Differentialgleichungen nutzen. B.Sc. Thesis in Mathematics, 2012.


83. Nicolas Mach: Nichtäquidistante Quantisierungsverfahren zur Kompression von Grauwertbildern B.Sc. Thesis in Computer Science, 2017.


84. Markus Mainberger: Computing the Fundamental Matrix in Computer Vision from Dense Optic Flow Fields. B.Sc. Thesis in Computer Science, 2007.


85. Verena Marold: Closed-Form Solutions for Computer-Generated Finite Difference Approximations. B.Sc. Thesis in Computer Science, 2008.


86. Michael Maurer: Vergleich von Ditheringverfahren für Grauwertbilder. B.Sc. Thesis in Computer Science, 2008.


87. Christoph Metzner: Extending the Method of Tumblin/Turk to Tensor-Valued Data. B.Sc. Thesis in Mathematics, 2008.


88. Christian Mikulcak: Integralbilder in der Bildkompression. Thesis for High School Teachers in Computer Science, 2016.


89. Maciej Mrowiec: Datenreduktion mit Hilfe der Karhunen-Loeve Transformation. Advanced Project Work in Computer Science, 2003.


90. Marie Mühlhaus: Compressing Binary Images with the Medial Axis Transform. B.Sc. Thesis in Computer Science, 2020.


91. Sabine Müller: Preprocessing of Three Dimensional Cell Images. B.Sc. Thesis in Computer Science, 2011.


92. Vincent Nebel: Image Simplification through Sparsification of Level Lines. B.Sc. Thesis in Mathematics, 2019.


93. Frank Nedwed: A Probabilistic Approach to Image Compression Using Subdivisions. B.Sc. Thesis in Computer Science, 2015.


94. Mirjam Neu-Weigand: Morphological Derivatives and Granulometries. B.Sc. Thesis in Computer Science, 2010.


95. Jérôme Neumanns: Multimodal Registration of Optical and Ultrasound Images of Melanomas. B.Sc. Thesis in Computer Science, 2008.


96. Markus Osthof: Focus Fusion of Digital Images. B.Sc. Thesis in Computer Science, 2009.


97. Georg Paulus: Normalisoerung in der Bewegungsberechnung. Advanced Project Work in Computer Science, 2004.


98. Shu Peng: Adaptive Recursive Filters. B.Sc. Thesis in Computer Science, 2007.


99. Nico Persch: Multiframe Superresolution Image Synthesis by Variational Optic Flow Compensation and Wiener Filtering. B.Sc. Thesis in Computer Science, 2007.


100. Pascal Tobias Peter: Hamilton-Jacobi Skeletonisation in Image Processing. B.Sc. Thesis in Computer Science, 2010.


101. Jochen Petry: Numerik der Singulärwertzerlegung. B.Sc. Thesis in Computer Science, 2009.


102. Jerzy Poczobut-Maul: Elastic Regularization for Motion Estimation. B.Sc. Thesis in Computer Science, 2007.


103. Michael Puhl: Edge Based Image Compression with Mixed Boundary Conditions. B.Sc. Thesis in Computer Science, 2012.


104. Amalia Radoiu: Automatic Parameter Optimization for the Optical Flow. B.Sc. Thesis in Computer Science, 2011.


105. Bruno Ranieri: Improving a Single Interlaced Image Using Optical Flow. B.Sc. Thesis in Computer Science, 2008.


106. Ole Rehmsen: Gesture Recognition Using Accumulated Optical Flow. B.Sc. Thesis in Computer Science, 2009.


107. Andreas Reifschneider: Improving Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-Preserving Regularisation Using Anisotropic Diffusion. Advanced Project Work in Computer Science, 2006.


108. Felix Retter: Schnelle Löser für Lineare Systeme in der Bildkompression. B.Sc. Thesis in Mathematics, 2008.


109. Nicolas Rickert: Digital Watermarking: Methods and Applications for Digital Images. B.Sc. Thesis in Computer Science, 2009.


110. Jens Rieskamp: Implementierung und Evaluierung eines konturbasierten Ähnlichkeitsmaßes zur Sätzung der Lage eines 2D Objekts. Advanced Project Work in Computer Science, 2005.


111. Jean Marc Roth: Stereo Correspondence for Slanted Surfaces: Local and Global Method. B.Sc. Thesis in Computer Science, 2008.


112. Kaloyan Rusev: Demosaicing Using the Structure Tensor. B.Sc. Thesis in Computer Science, 2010.


113. Kristina Schaefer: Morphological Differentiation. B.Sc. Thesis in Computer Science, 2019.


114. Peter Schäfer: Qualitative Investigation of Edge-preserving Nonlinear Denoising Algorithms. B.Sc. Thesis in Computer Science, 2007.


115. Alexander Scheer: Entropy Coding for PDE-Based Image Compression. B.Sc. Thesis in Computer Science, 2014.


116. Philipp Mathias Stefan Schneider: PCA-basierte Gesichtserkennung- Thesis for High School Teachers in Computer Science, 2017.


117. Torsten Schmidt: Edge Detection. Advanced Project Work in Computer Science, 2007.


118. Markus Schneider: Image Compression with Homegeneous Diffusion Inpainting on Level Lines. B.Sc. Thesis in Computer Science, 2013.


119. Sebastian Schwarzbach: Simultaneous Estimation of Optic Flow and Denoising for Image Sequences. B.Sc. Thesis in Computer Science, 2009.


120. Markus Schwinn: Patch-Based Inpainting and Compression. B.Sc. Thesis in Computer Science, 2013.


121. Michael Johannes Sonntag: Solving Horn-Schunck Optic Flow Model Using Deep Energies. B.Sc. Thesis in Bachelor Plus MINT, 2022,


122. Julian Steil: Shape Coding with Nonapoles. B.Sc. Thesis in Computer Science, 2013.


123. Frank Steinbrücker: Fraktale Bildkompression. B.Sc. Thesis in Computer Science, 2007.


124. Andreas Steinel: Bildverbesserung von Sternspuraufnahmen. B.Sc. Thesis in Computer Science, 2006.


125. Benedict Strube: Frame Interpolation with Optic Flow. B.Sc. Thesis in Computer Science, 2019.


126. Hendrik Suhr: Analyzing the Robustness of Corner Detection with the Structure Tensor. B.Sc. Thesis in Computer Science, 2021.


127. David Theis: Der Lucas-Kanade-Algorithmus für Farbbildsequenzen. Advanced Project Work in Computer Science, 2003.


128. Maik Theisen: M-Smoothers versus Nonlinear Mean Filters. Advanced Project Work in Computer Science, 2006.


129. Patrick Trampert: Evaluation of Segmentation Algorithms for Fingerprints; Advanced Project Work in Computer Science, 2010.


130. Edgar Tretschk: Variational Pansharpening with Nonlinear Anisotropic Diffusion. B.Sc. Thesis in Computer Science, 2017


131. Moritz Christoph van Recum: Monotone Spline Interpolation of Images for PDE-based Numerical Schemes. B.Sc. Thesis in Mathematics, 2023.


132. Oliver Vogel: Osmosis in Image Processing. Advanced Project Work in Computer Science, 2006.


133. Daniel Wagner: Ein segmentationsgestützter Variationsansatz zur Stereorekonstruktion. B.Sc. Thesis in Computer Science, 2011.


134. Sebastian Wainer: Objekttracking mit dem Mumford Shah Cartoon Modell. B.Sc. Thesis in Computer Science, 2015.


135. Pengming Wang: Optic Flow via Motion Prediction. B.Sc. Thesis in Computer Science, 2010.


136. Michael Wessely: Simultaneous Variational Deconvolution and Inpainting. B.Sc. Thesis in Computer Science, 2010.


137. Sebastian Zimmer: Rotational Invariant Block Matching for the Nonlocal Means Algorithm for Image Denoising. B.Sc. Thesis in Computer Science, 2007.

Interested in Writing Your Bachelor Thesis with Us ?

We have many ideas for theses in mathematics and computer science, and with your help we would like to find an individually tailored topic for you that fits your preferences best.
If you are interested in writing your bachelor thesis in our group, please write an e-mail to Joachim Weickert. You should tell him which of our classes you have already attended and which are your broader areas of interest. For a bachelor thesis, we expect that you have participated in our classes on ''Image Processing and Computer Vision''.
Joachim Weickert will then make an appointment with you and offer several potential topics to you. Everything is open, and you can choose freely without any obligations.

Here is some information for prospective students.

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