Members of the MIA Group / Master Students


    In progress


  1. Oliver Barth: M.Sc. Thesis in Visual Computing.

  2. Pinak Bheed: M.Sc. Thesis in Visual Computing.

  3. Mykola Byelytskyy: M.Sc. Thesis in Visual Computing.

  4. Jan Contelly: M.Sc. Thesis in Computer Science.

  5. Max John: M.Sc. Thesis in Applied Mathematics.

  6. Verena Kremer: M.Sc. Thesis in Visual Computing.

  7. Damaris Gatzsche: M.Sc. Thesis in Computer Science.

  8. Merlin Lang: M.Sc. Thesis in Visual Computing.

  9. Verena Marold: M.Sc. Thesis in Visual Computing.

  10. Ganesh Murugan: M.Sc. Thesis in Visual Computing.

  11. Nane Neu: M.Sc. Thesis in Applied Mathematics.

  12. Thomas Pohl: M.Sc. Thesis in Visual Computing.

  13. Sumit Shekhar: M.Sc. Thesis in Visual Computing.

  14. Jón Arnar Tómasson: M.Sc. Thesis in Visual Computing.


  15. Finished


  16. Fadel Abderrahmane: Automatische Bestimmung von Parametern beim optischen Fluss. Diploma Thesis in Mathematics, 2010

  17. Hanan Abou Hamdan: Coupling Models for Image Denoising. M.Sc. Thesis in Computer Science, 2016.

  18. Robin Dirk Adam: Denoising by Inpainting. M.Sc. Thesis in Computer Science, 2016.

  19. Timo Adam: Optical Analysis of High Pressure Diesel Sprays Using Image Segmentation Methods. M.Sc. Thesis in Computer Science, 2016.

  20. Muhammad Zeshan Afzal: Numerics for Tensor Field Registration. M.Sc. Thesis in Visual Computing, 2010.

  21. Ahed Alahmar: Recursive PDE-Based Compression of High-Dimensional Data Sets. M.Sc. Thesis in Computer Science, 2013.

  22. Zaki Alsaadawi: Signal Processing of Spatial-Temporal Data in the Active Thermography. M.Sc. Thesis in Computer and Communication Engineering, 2010.

  23. Michael Arnold: Video Retrieval Using Motion Descriptors. M.Sc. Thesis in Visual Computing, 2011.

  24. Aleksandar Avramov: Optic Flow with Total Variation and L¹ Norm. M.Sc. Thesis in Computer Science, 2009.

  25. Harriet Bach: Towards a Wavelet Representation of Implicit Diffusion. M.Sc. Thesis in Visual Computing, 2007.

  26. Egil Bae: New PDE-based Methods for Surface and Image Reconstruction. M.Sc. Thesis in Applied Mathematics, University of Bergen, 2007.

  27. Yupu Bao: On Coupling Model for Shape from Shading, 2015. M.Sc. Thesis in Computer Science.

  28. Robert Barbey: Coherence-Enhancing Shock Filters in Vector Field Visualisation. Diploma Thesis in Computer Science, 2008.

  29. Sebastiano Barbieri: A Variational Approach to the Registration of Tensor-Valued Images. M.Sc. Thesis in Visual Computing, 2008.

  30. Frank Bauer: Anisotropic Filters for 3D Scalar- and Tensor-Valued Data. Diploma Thesis in Computer Science, 2007.

  31. Kevin Baum: GPGPU Supportet Diffusion-Based Naive Video Compression. M.Sc. Thesis in Computer Science, 2013.

  32. Dominique Beaulieu: Vehicle Recognition with Optical Flow. M.Sc. Thesis in Computer Science, 2007.

  33. Tobias Becker: Eight-Voxel Schemes for Anisotropic Diffusion in 3D: Efficient Implementation and Evaluation. M.Sc. Thesis in Visual Computing, 2009.

  34. Leif Bergerhoff: Swarm Behavior for Image Analysis. M.Sc. Thesis in Visual Computing, 2015.

  35. Achim Bergmeister: Diffusionsfilter auf Waveletzerlegung von Audiosignalen. Diploma Thesis in Computer Science, 2004.

  36. Mayur Bhamborae Jayaram: Variational Focus Fusion with Adaptive Focus Measures and Coherence Based Gradient Processing. M.Sc. Thesis in Visual Computing, 2016.

  37. Susanne Biehl: Implementierung und Vergleich differentialgleichungsbasierter Inpainting- und Interpolationsalgorithmen. Diploma Thesis in Computer Science, 2005.

  38. Michel Biertz: High Dynamic Range Imaging. M.Sc. Thesis in Visual Computing, 2016.

  39. Rajarshi Biswas: A Coupled Variational Model for Denoising and Optic Flow Estimation. M.Sc. Thesis in Visual Computing, 2016.

  40. Madina Boshtayeva: Focus Fusion via Variational Methods. M.Sc. Thesis in Computer Science, 2012.

  41. Sinan Bozca: Discrete Osmosis Methods for Image Processing. M.Sc. Thesis in Computer Science, 2016.

  42. Ayadi Chouikhi: Segmentation of Steel Microstructure Images Using an Adapted Chan and Vese Appproach. Internship Thesis (Stage) in Computer Science.

  43. Özgün Çiçek: Efficient Computation and Representation of the Diffusion Echo. M.Sc. Thesis in Computer Science, 2014.

  44. Oliver Demetz: Graph Cuts in Computer Vision. M.Sc. Thesis in Computer Science, 2009.

  45. Stefan Densow: Robot Navigation with Low-Level-Vision. M.Sc. Thesis in Computer and Communication Engineering, 2011.

  46. Stephan Didas: Higher Order Variational Methods for Noise Removal in Signals and Images. Diploma Thesis in Mathematics, 2004.

  47. Dominik Dietrich: Fuzzy Logic for Hyperbolic PDEs. M.Sc. Thesis in Applied Mathematics, 2008.

  48. Jan Hendrik Dithmar: Can Image Processing Help Music Information Retrieval? M.Sc. Thesis in Visual Computing, 2010.

  49. Tanja Dorst: Nicht-Negative Matrix-Zerlegungen. M.Sc. Thesis in Pure Mathematics, 2013.

  50. Michael Eisemann: Filterung von Diffusionstensor-Kernspintomographie-Daten. Diploma Thesis in Computer Science, 2006.

  51. Ahmed Elhayek: Simultaneous Interpolation and Deconvolution Approach to 3D Reconstruction of Cell Images. M.Sc. Thesis in Computer Science, 2010.

  52. Alexey Ershov: Coalescence Rate Estimation Using Optical Flow and Occlusion Detection. M.Sc. Thesis in Computer Science, 2008.

  53. Marvin Fleck: White Matter Fibre Tracking Using Diffusion Tensor MRI. Diploma Thesis in Mathematics, 2007.

  54. Irena Galić: Local Mode Filtering for One-Dimensional Signals. M.Sc. Thesis in Computer Science, 2004.

  55. Silvano Galliani: Perspective Photometric Stereo with non Lambertian Reflectance. M.Sc. Thesis in Visual Computing, 2011.

  56. Qi Gao: Low Bit Rate Video Compression Using Inpainting PDEs and Optic Flow. M.Sc. Thesis in Computer Science, 2009.

  57. Peter Geber: Exemplarbasierte Verfahren zur Texturrekonstruktion in Digitalbildern. Thesis in Computer Science for High School Teachers, 2008.

  58. Gabriela Ghimpeteanu: Non-Photorealistic Rendering of 2D Images. M.Sc. Thesis in Visual Computing, 2010.

  59. Matthias Ghodstinat: Deinterlacing von Videos mit Diffusionsprozessen und Optischen-Fluss-Verfahren. Diploma Thesis in Computer Science, 2007.

  60. Ilya Goncharov: Local Constancy Assumption Selection for Variational Optical Flow. M.Sc. Thesis in Visual Computing, 2012.

  61. Sven Grewenig: Extrapolationsverfahren für nichtlineare zweidimensionale Diffusionsprobleme. Diploma Thesis in Mathematics, 2008.

  62. Martin Grochulla: Moment Preserving Diffusion in Image Processing. M.Sc. Thesis in Visual Computing, 2010.

  63. Claudia Groß: Bildbearbeitung mit Belief-Propagation. Diploma Thesis in Mathematics, 2008.

  64. Pascal Gwosdek: Real-Time Optic Flow Algorithms on the Cell Processor. M.Sc. Thesis in Computer Science, 2008.

  65. David Hafner: Census-Based Variational Optic Flow. M.Sc. Thesis in Computer Science, 2012.

  66. Kai Uwe Hagenburg: Nonlinear Osmosis in Image Processing. M.Sc. Thesis in Visual Computing, 2008.

  67. Dong Han: A Class Based Segmentation Algorithm. M.Sc. Thesis in Computer Science, 2008.

  68. Thorsten Haupt: New Methods for Median Filtering. M.Sc. Thesis in Computer Science, 2007.

  69. Holger Hewener: Untersuchung von Verfahren zur Rekonstruktion, Filterung und Visualisierung dreidimensionaler medizinischer Ultraschall-Daten. Diploma Thesis in Computer Science, 2004.

  70. Alexander Hewer: Joint Second Order Optic Flow Regularisation and Estimation of the associated Displacement Gradient. M.Sc. Thesis in Visual Computing, 2012.

  71. Alexander Hewer: A Generic Framework for Smoothness Terms of Arbitrary Order. M.Sc. Thesis in Computer Science, 2013.

  72. Hamidreza Heydarian: Ridge Clustering with Osmosis. M.Sc. Thesis in Visual Computing, 2015.

  73. Laurent Hoeltgen: Bregman Iteration for Optical Flow. M.Sc. Thesis in Applied Mathematics, 2010.

  74. Judith Jakob: Mathematische Restauration von stark zerstörtem Bildmaterial. M.Sc. Thesis in Applied Mathematics, 2012.

  75. Zhao Jin: Video Coding with Three-Dimensional Diffusion. M.Sc. Thesis in Computers and Communications, 2014.

  76. Yong Chul Ju: Hamilton-Jacobi Equations for Computer Vision: Applications in Shape from Shading. M.Sc. Thesis in Visual Computing, 2010.

  77. Christian Kariger: Bewegungsanalyse von Nanopartikeln im Trachealgewebe von Hühnerembryonen. Diploma Thesis in Computer Science, 2008.

  78. Lilli Kaufhold: Cell Tracking in 3D-Videos. M.Sc. Thesis in Visual Computing, 2015.

  79. Andreas Kleer: Diffusion Filtering on Embedded Hardware. Diploma Thesis in Computer Science, 2006.

  80. Jörg Knappen: A Halftoning Quality Measure and its Application. M.Sc. Thesis in Computer Science, 2011.

  81. Sergej Kosov: Multi-View 3D Reconstruction with Variational Method. M.Sc. Thesis in Computer Science, 2008.

  82. Vladislav Kramarev: Interactive Image Segmentation Based on the Cost Volume Filtering. M.Sc. Thesis in Computer Science, 2012.

  83. Merlin Lang: Gradient Domain and Osmosis Methods for Polygons. M.Sc. Thesis in Computer Science, 2015.

  84. Thomas Leichtweis: Fast Marching für perspektivisches Shape from Shading. Diploma Thesis in Computer Science, 2008.

  85. Rajiv Lund: 3-D Data Compression with Homogeneous Diffusion. M.Sc. Thesis in Computer Science, 2011.

  86. Maria Luschkova: Exposure Fusion for Dynamic Scenes. M.Sc. Thesis in Visual Computing, 2013.

  87. Andreas Luxenburger: Video Denoising with Optic Flow Driven Anisotropic Diffusion. M.Sc. Thesis in Computer Science, 2013.

  88. Wenjie Ma: Parameterised Optic Flow. M.Sc. Thesis in Computer Science, 2009.

  89. Dina Mahmood: Multiple-Frame Image Super Resolution Based on Optic Flow. M.Sc. Thesis in Visual Computing, 2011.

  90. Markus Mainberger: Contour Coding for PDE-Based Image Reconstruction. M.Sc. Thesis in Visual Computing, 2008.

  91. Verena Marold: Nichtnegative Diskretisierungen von anisotropen Diffusionsprozessen. M.Sc. Thesis in Computer Science, 2012.

  92. Jan Martens: Automated Analysis of Red Blood Cell Images. M.Sc. Thesis in Bioinformatics, 2014.

  93. Hui Men: Scene Detection for Diffusion-based Video Compression. M.Sc. Thesis in Computer Science, 2015.

  94. Yana Mileva: Invariance with Optic Flow. M.Sc. Thesis in Computer Science, 2007.

  95. Maciej Mrowiec: Adaptive Morphologie. Diploma Thesis in Computer Science, 2005.

  96. Sabine Müller: Image Processing Methods for Analysing Glioblastoma Multiforme in MRI Data. M.Sc. Thesis in Visual Computing, 2014.

  97. Madina Mustafina: Patchmatch for Large Displacement Optic Flow Estimation without Warping. M.Sc. Thesis in Computer Science, 2016.

  98. Sreenivas Narashima Murali: Non-Local Patch based Error Measure for Texture Classification. M.Sc. Thesis in Visual Computing, 2016.

  99. Noreen Nasar: Finite Element Method for Diffusion Filtering. M.Sc. Thesis in Computer Science, 2007.

  100. Mirjam Neu-Weigand: Using Object Detection and Stereo Vision for the Automated Reconnection of Trolleybuses. M.Sc. Thesis in Computer Science, 2013.

  101. Jing Niu: A Steganography Inspired Application of Hiding a High Resolution Image in its Low Resolution Version. M.Sc. Thesis in Computer Science, 2015.

  102. Peter Ochs: Interpolation with Osmosis. M.Sc. Thesis in Applied Mathematics, 2010.

  103. Joanna Pacia: Automatic Detection of Semiconductor Wafers Defects using Meta Classification Approach. M.Sc. Thesis in Visual Computing, 2014.

  104. Nico Persch: Three Dimensional Optic Flow Computation for Volumetric Image Data Sets. M.Sc. Thesis in Computer Science, 2009.

  105. Pascal Peter: Kompression dreidimensionaler Daten mit anisotropen Diffusionsprozessen. Thesis in Computer Science for High School Teachers, 2011.

  106. Michael Portz: Denoising of a 3-D Cryo-Electron-Tomogram via Non-Local Means. Diploma Thesis in Computer Science, 2008.

  107. Sergey Pushkarev: 3D Nonlinear Diffusion Filtering von GPUs Using an AOS Scheme. M.Sc. Thesis in Computer Science, 2009.

  108. Andreas Reifschneider: Texture Generation, Image Analysis and Enhancement Using Reaction-Diffusion Systems and Their Enhancement Using Nonlinear Anisotropic Diffusion Algorithms. Diploma Thesis in Computer Science, 2006.

  109. Maxim Reznitskii: Stereo Vision under Adverse Conditions. M.Sc. Thesis in Computer Science, 2013.

  110. Helge Rhodin: Shape from Texture in a Variational Context. M.Sc. Thesis in Computer Science, 2012.

  111. Jean Marc Roth: Higher Order Anisotropic Smoothing of Images. M.Sc. Thesis in Computer Science, 2009.

  112. Hosnieh Sattar: Integration of Direct and Gradient Based Methods for Focus Fusion. M.Sc. Thesis in Visual Computing, 2014.

  113. Sarah Schäffer: Analysis and Modification of an Image Processing Algorithm Based on Smooth Patch Orderings. M.Sc. Thesis in Computer Science, 2014.

  114. Alexander Scheer: K-Means Clustering for PDE-based Image Compression. M.Sc. Thesis in Computer Science.

  115. Waldemar Schefer: Numerische Optimierungsverfahren für Energiefunktionale in der Bildverarbeitung. Diploma Thesis in Mathematics, 2010.

  116. Christian Schmaltz: Diffusion-Based Image Compression Using Rectangular Grids. M.Sc. Thesis in Applied Mathematics, 2009.

  117. Ellen Schmeyer: Demosaicing mit Hilfe von Diffusionsfiltern. Diploma Thesis in Mathematics, 2007.

  118. Simon Schmidt: Variatationsansatz bei PIV. Diploma Thesis in Computer Science, 2008.

  119. Torsten Schmidt: Merkmalsextrakion mit nichtlinearen Prozessen. M.Sc. Thesis in Computer Science, 2008.

  120. Verena Schmitt: Entwicklung eines neuen Skalenraumes auf Basis der Weinstein-Gleichung. Thesis in Computer Science for High School Teachers, 2008.

  121. Timm Schneevoigt: Camera Motion Estimation Based on Optic Flow. M.Sc. Thesis in Visual Computing, 2013.

  122. Markus Schneider: Image Compression with Sparse Gradient Data. M.Sc. Thesis in Computer Science, 2015.

  123. Michael Schneider: Stabilitätsbegriffe bei parabolischen Differentialgleichungen. M.Sc. Thesis in Mathematics, 2004.

  124. Christopher Richard Schroers: Variational Range Image Integration. M.Sc. Thesis in Visual Computing, 2011.

  125. Thomas Schultz: Integrated Segmentation and Visualisation of 3D DT-MRI Tensor Fields. Diploma Thesis in Computer Science, 2006.

  126. Petra Schuster-Gentes: Mathematische Grundlagen des Belief-Propagation-Algorithmus mit einer Anwendung in Stereovision. Diploma Thesis in Mathematics, 2008.

  127. Sebastian Schwarzbach: Combining Shape-from-Shading and Stereo. M.Sc. Thesis in Computer Science, 2012.

  128. Achim Schwender: Multiscale Variational Approach to Image Stitching. Diploma Thesis in Mathematics, 2010.

  129. Markus Schwinn: Estimation of Geometrical Set-Ups for Computed Laminography 3D-Reconstruction. M.Sc. Thesis in Computer Science, 2015.

  130. Natalia Slesareva: Dense Disparity Map Estimation: A Novel Approach Based on High Accuracy Optic Flow Computation. M.Sc. Thesis in Computer Science, 2005.

  131. Marco Stadtmüller: A Variational Approach for Audio Synchronization. M.Sc. Thesis in Computer Science, 2009.

  132. Frank Steinbrücker: Tumor Classification on Breast MR Images. M.Sc. Thesis in Computer Science, 2008.

  133. Andreas Steinel: Hopscotch Algorithms for Diffusion Problems in Image Processing. M.Sc. Thesis in Visual Computing, 2010.

  134. Michael Stoll: Large Displacement Optical Flow. M.Sc. Thesis in Visual Computing, 2012.

  135. Sonja Sturm (nee Forderer): Detection of Image Manipulation in the Derivative Domain. M.Sc. Thesis in Visual Computing, 2016.

  136. David Theis: Dekonvolution digitaler Bilder. Diploma Thesis in Computer Science, 2005.

  137. Maik Theisen: Hough Transform and Fiber Tracking on Tensor-Valued Data. Diploma Thesis in Applied Computer Science, 2007.

  138. Patrick Trampert: Flux-Corrected Transport for Structure-Adaptive Mathematical Morphology. M.Sc. Thesis in Computer Science, 2012.

  139. Peter Urban: Robust Document Flattening. M.Sc. Thesis in Visual Computing, 2011.

  140. Levi Valgaerts: Combining Variational and Feature-Based Methods for Motion Estimation. M.Sc. Thesis in Computer Science, TU Munich, 2007.

  141. Oliver Vogel: Variational Shape from Shading: Direct Depth Discovery and Inhomogeneous Regularisers. Diploma Thesis in Computer Science, 2006.

  142. Sebastian Volz: Variational Scene Flow Estimation. Diploma Thesis in Mathematics, 2010.

  143. Silke Wagner: Extrapolationsmethoden für die Wärmeleitungsgleichung. Diploma Thesis in Mathematics, 2003.

  144. Michael Wessely: Background Extraction from Multiple Views. M.Sc. Thesis in Computer Science,2012.

  145. Marco Wickert: Nicht-Standard-Finite-Differenzen-Verfahren in der Bildverarbeitung. Diploma Thesis in Mathematics, 2009.

  146. Katrin Wirtz: Gebietsplanung mit maximaler Zertreutheit. Diploma Thesis in Mathematics, 2009.

  147. Hang Xiao: Color reconstruction for Alpha Matting. M.Sc. Thesis in Computers and Communications, 2013.

  148. Ye Yuan: Design and Implementation of a Camera-Based Bar Code Recognition Software for Windows Mobile Devices. Diploma Thesis in Computer Science, 2007.

  149. Henning Zimmer: PDE-Based Image Compression Using Corner Information. M.Sc. Thesis in Computer Science, 2007.

  150. Sebastian Zimmer: Textures in PDE-based Image Compression. M.Sc. Thesis in Computer Science, 2009.

Interested in Writing Your Master Thesis with Us ?

We have many ideas for theses in visual computing, 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 master 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 master thesis, we expect that you have participated in our classes on ''Image Processing and Computer Vision'' and ''Differential Equations in 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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