Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images
- This contribution investigates the application of established pansharpening algorithms for the fusion of hyperspectral images from Raman microspectroscopy and panchromatic images from conventional brightfield microscopy. Seven different methods based on multiresolution analysis and component substitution were applied and evaluated through visual assessment and quantitative quality measures at full and reduced resolution. The results indicate that, among the considered concepts, multiresolution methods are the more promising approaches for a physically and chemically meaningful fusion of the considered modalities. Here, pansharpening based on high-pass filtering led to the best results.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Christoph Pomrehn, Daniel Klein, Andreas Kolb, Peter Kaul, Rainer Herpers |
| Parent Title (English): | 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 23-26 September 2018, Amsterdam, The Netherlands |
| ISBN: | 978-1-7281-1581-8 |
| DOI: | https://doi.org/10.1109/WHISPERS.2018.8747082 |
| Publisher: | IEEE |
| Date of first publication: | 2019/06/27 |
| Tag: | Hyperspectral image; Raman microscopy; brightfield microscopy; image fusion; pansharpening |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Fachbereich Angewandte Naturwissenschaften | |
| Institut für Sicherheitsforschung (ISF) | |
| Institute of Visual Computing (IVC) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
| Entry in this database: | 2018/08/11 |
