Multiresolution Analysis Pansharpening 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
- 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019 10th Workshop on. :1-6 Sep, 2019
- Subject
- Engineering Profession
General Topics for Engineers
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Spatial resolution
Distortion
Microscopy
Visualization
Hyperspectral imaging
Quality assessment
Hyperspectral image
multiresolution analysis
pansharpening
image fusion
Raman microscopy
- Language
- ISSN
- 2158-6276
This contribution investigates the application of multiresolution analysis-based pansharpening algorithms for the fusion of microscopic images generated by Raman and conventional brightfield microscopy. Using hyperspectral and panchromatic image data of a polymer sample, eleven different established algorithms have been applied. Fusion quality assessment has been conducted at reduced and full resolution. It could be demonstrated that among the considered approaches, pansharpening based on high-pass filtering performs best in terms of spatial and spectral consistency, according to established quality measures and a visual image quality assessment.