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Fourier-domain filtering analysis for color-polarization camera demosaicking

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Abstract

We review Fourier-domain methods for demosaicking Bayer-filter color cameras and monochrome polarization cameras, and then generalize the approach for the quad-Bayer-filter mosaic and for color-polarization cameras. For each of these four mosaic filter types, we provide theoretical expressions for the sampling functions, the Fourier-domain channels, and the linear combination of reconstructed channels (the demosaicking algorithm) needed to estimate the input (presampled) image. A useful advantage of the Fourier-domain approach is that it provides a direct means of visualizing and quantifying when aliasing is likely or unlikely to be present. For the Bayer and quad-Bayer-filter types, we provide simulated images, while for the polarization camera types we provide experimental images and videos to illustrate the algorithm and analyze crosstalk error.

© 2024 Optica Publishing Group

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Corrections

29 March 2024: A correction was made to the Funding section and Acknowlegment.


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Supplementary Material (5)

NameDescription
Supplement 1       Detailed derivation for Equation 29.
Visualization 1       A monochromatic polarization camera image while adjusting focus.
Visualization 2       A monochromatic polarization camera image while adjusting focus.
Visualization 3       A color polarization camera image while adjusting focus.
Visualization 4       A color polarization camera image while adjusting focus.

Data availability

The data and algorithms presented in this paper are publicly available in a repository [21]. Other data underlying the results presented in this paper may be obtained from the authors upon request.

21. N. Hagen, “Fourier demosaicking: initial release,” Zenodo, 2023, https://doi.org/10.5281/zenodo.8149453.

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Figures (10)

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Equations (30)

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