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

Christoph Pomrehn, Daniel Klein, Andreas Kolb, Peter Kaul, Rainer Herpers
10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - September 2019

Abstract

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.

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BibTex references

@InProceedings{PKKKH19a,
  author       = {Pomrehn, Christoph and Klein, Daniel and Kolb, Andreas and Kaul, Peter and Herpers, Rainer},
  title        = {Multiresolution Analysis Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images},
  booktitle    = {10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing},
  series       = {WHISPERS},
  month        = {September},
  year         = {2019},
}

Other publications in the database

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