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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Fourier Multispectral Imaging: Measuring Spectra, One Sinusoid at a Time
verfasst von : Keigo Hirakawa
Erschienen in: Computational Color Imaging
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Abstract
We recently introduced the notion of Fourier Multispectral Imaging (Fourier MSI), a novel technique for undersampling spectral images without significant sacrifices to the spectral features that may be useful for material identification. The idea originated in Fourier transform spectroscopy, where multiple interferometric measurements are used to take spectral samples while varying optical path difference (OPD). Since interference is equivalent to spectral modulation by a filter with sinusoidally shaped transmittance function, we designed a sinusoidal filter using thin film Fabry-Perot to acquire OPD samples at every pixel. Owing to the rapid decay of OPD samples, Fourier MSI is an ideal multispectral imaging modality for preserving spectral features with the fewest spectral samples. We detail our prototyping efforts and demonstrate the advantages of such multispectral imaging configurations.