An evaluation framework for spectral filter array cameras to optimize skin diagnosis

Jacob Renzo Bauer*, Jean Baptiste Thomas, Jon Yngve Hardeberg, Rudolf M. Verdaasdonk

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
37 Downloads (Pure)


Comparing and selecting an adequate spectral filter array (SFA) camera is application-specific and usually requires extensive prior measurements. An evaluation framework for SFA cameras is proposed and three cameras are tested in the context of skin analysis. The proposed framework does not require application-specific measurements and spectral sensitivities together with the number of bands are the main focus. An optical model of skin is used to generate a specialized training set to improve spectral reconstruction. The quantitative comparison of the cameras is based on reconstruction of measured skin spectra, colorimetric accuracy, and oxygenation level estimation differences. Specific spectral sensitivity shapes influence the results directly and a 9-channel camera performed best regarding the spectral reconstruction metrics. Sensitivities at key wavelengths influence the performance of oxygenation level estimation the strongest. The proposed framework allows to compare spectral filter array cameras and can guide their application-specific development.

Original languageEnglish
Article number4805
JournalSensors (Switzerland)
Issue number21
Publication statusPublished - 1 Nov 2019


  • Biomedical optics
  • Image quality
  • Multispectral imaging
  • Oxygenation
  • Reflectance spectroscopy
  • Spectral filter array
  • Tissue optics


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