Dehazing for Biomedical Microscopy Image Data
- In this thesis two novel methods for removing undesired background illumination are de-veloped. These include a wavelet analysis based approach and an enhancement of a deep learning method. These methods have been compared with conventional methods, using real confocal microscopy images and synthetic generated microscopy images. These synthetic images were created utilizing a generator introduced in this thesis.
| Author: | Marcel Kohl |
|---|---|
| Advisor: | Dirk Labudde, Florian Jug |
| Document Type: | Bachelor Thesis |
| Language: | English |
| Year of Completion: | 2020 |
| Granting Institution: | Hochschule Mittweida |
| Release Date: | 2024/03/15 |
| GND Keyword: | Deep learning; Bildverarbeitung; Bildgebendes Verfahren; Biomedizin |
| Institutes: | Angewandte Computer‐ und Biowissenschaften |
| DDC classes: | 570.28 Biomedizinische Technik |
| Open Access: | Innerhalb der Hochschule |
| Licence (German): |  Urheberrechtlich geschützt |
