Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images

Christoph Pomrehn, Daniel Klein, Andreas Kolb, Peter Kaul, Rainer Herpers
2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - September 2018

Abstract

In this paper, the application of established pansharpening algorithms for the fusion of hyperspectral images from Raman Microspectroscopy and panchromatic images from conventional Brightfield Microscopy is investigated. Seven different methods based on Multiresolution Analysis and Component Substitution are applied and evaluated through visual assessment and quantitative quality measures at full and reduced resolution. The obtained results indicate that among the considered concepts, multi-resolution 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.

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BibTex references

@InProceedings{PKKKH18,
  author       = {Pomrehn, Christoph and Klein, Daniel and Kolb, Andreas and Kaul, Peter and Herpers, Rainer},
  title        = {Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images},
  booktitle    = {2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing},
  series       = {WHISPERS},
  month        = {September},
  year         = {2018},
}

Other publications in the database

» Christoph Pomrehn
» Daniel Klein
» Andreas Kolb
» Peter Kaul
» Rainer Herpers