Heimann, Viktoria
Viktoria Heimann, M. Sc.
Research
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
Available Theses
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.
Completed Theses
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
Teaching
Internship (PR)
Awards
- , , : Top10% Paper Award (IEEE 24th International Workshop on Multimedia Signal Processing) – 2022
- , , : Best Student Paper Award (IEEE 22nd International Workshop on Multimedia Signal Processing) – 2020
Publications
2022
Frequency-Selective Geometry Upsampling of Point Clouds
IEEE International Conference on Image Processing (ICIP) 2022 (Bordeaux, 16. October 2022 - 19. October 2022)
DOI: 10.1109/ICIP46576.2022.9897920
URL: https://arxiv.org/abs/2205.01458
BibTeX: Download
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Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling
IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)
In: 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), NEW YORK: 2022
DOI: 10.1109/MMSP55362.2022.9949143
BibTeX: Download
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Resampling and Reconstructing Corrupted Images for Image Classification
IEEE International Workshop on Multimedia Signal Processing (Shanghai (virtually), 26. September 2022 - 28. September 2022)
URL: https://arxiv.org/abs/2210.15444
BibTeX: Download
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Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling
IEEE International Symposium on Circuits and Systems (ISCAS) (, 28. May 2022 - 1. June 2022)
URL: https://arxiv.org/abs/2209.14431
BibTeX: Download
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2021
Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling
IEEE International Conference on Acoustics, Speech and Signal Processing (Toronto (Virtual Conference), 6. June 2021 - 11. June 2021)
DOI: 10.1109/ICASSP39728.2021.9413684
URL: https://arxiv.org/abs/2210.10444
BibTeX: Download
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Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds
IEEE 23rd International Workshop on Multimedia Signal Processing (Tampere, 6. October 2021 - 8. October 2021)
In: Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP) 2021
DOI: 10.1109/MMSP53017.2021.9733445
URL: https://arxiv.org/abs/2203.09224
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2020
Key Point Agnostic Frequency-Selective Mesh-to-Grid Image Resampling using Spectral Weighting
IEEE International Workshop on Multimedia Signal Processing (MMSP) (Tampere (Virtual Conference), 21. September 2020 - 24. September 2020)
DOI: 10.1109/MMSP48831.2020.9287096
URL: https://arxiv.org/abs/2203.08086
BibTeX: Download
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