Heimann, Viktoria

In my research, I’m focusing on image resampling and interpolation. My main interest is on resampling from arbitrarily located pixels onto regularly spaced, integer positions. The arbitrarily located pixels are referred to as mesh, whereas the regularly spaced, integer positions are referred to as grid. I’m incorporating the model-based key-point agnostic frequency-selective mesh-to-grid resampling (AFSMR). AFSMR generates a frequency model on the mesh positions and evaluates it for the grid positions. The aim is to achieve high-quality resampling.

Additionally, I’m extending AFSMR to three-dimensional datatypes such as point cloud data.

For further information, please refer to the following link: Image Resampling

I offer theses in the area of resampling and interpolation for two- and three-dimensional datatypes. For further information, please write me an e-mail.

Further information about my research.

Master Theses

• “Frame-Rate Up-Conversion Using Bi-directional Motion Estimation and Frequency-Selective Mesh-to-Grid Resampling”, 2021
• “Improving Resampling in Viewport-Adaptive Fisheye Motion Compensation”, 2021
• “Extending Frequency-Selective Mesh-to-Grid Resampling to Super-Resolution Applications”, 2019/ 2020
• “Integration und Evaluation einer Entrauschungsstufe in der frequenzselektiven Bildumtastung”, 2019
• “Gitterbasierte frequenzselektive Bildumtastung”, WS 2018/2019

Bachelor Theses

• “Adaptive Blockaufteilung der frequenzselektiven Bildumtastung”, 2021
• “Verbesserung der frequenzselektiven Bildumtastung durch Einsatz eines tiefen neuronalen Netzwerks”, 2021
• “Analyse von Interpolationsmethoden für die Vorverarbeitung von Eingangsdaten neuronaler Netze”, 2020
• “Entwurf einer inhaltsadaptiven lokalen Gewichtungsfunktion für die frequenzselektive Bildumtastung”, 2020
• “Entzerrung von Fischaugenbildern mittels der frequenzselektiven Bildumtastung”, 2019/2020
• “Frequenzselektive Bildumtastung synthetischer Bilddaten”, 2019/2020
• “Entwicklung einer graphischen Benutzeroberfläche für die Bildumtastung”, 2019
• “Vorschätzung der Stützstellen der frequenzselektiven Bildumtastung”, 2019
• “Entwicklung einer integrierten Testumgebung für die Bildumtastung”, 2018/19

Research Internships

• “Auflösungserhöhung von Punktwolken”, 2020
• “Analysis of Various Techniques for License Plate Recognition”, 2020/ 2021
• “Development of a Quality Metric for Image Resampling without Ground Truth Data”, 2018/19
• “Introducing Artificial Irregularity into FSMR”, 2018/19
• “Development of a Quality Metric for Image Resampling”, 2018/2019
• “Entwurf eines inhaltsbasierten Entscheidungskriteriums zur Beschleunigung der FSMR”, 2018/2019