Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images
- Resource Type
- Conference
- Authors
- Pomrehn, Ch.; Klein, D.; Kolb, A.; Kaul, P.; Herpers, R.
- Source
- 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018 9th Workshop on. :1-5 Sep, 2018
- Subject
- Geoscience
Signal Processing and Analysis
Spatial resolution
Microscopy
Visualization
Distortion
Indexes
Principal component analysis
Hyperspectral image
pansharpening
image fusion
Raman microscopy
brightfield microscopy
- Language
- ISSN
- 2158-6276
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.