Snapshot polarimetry relies on the micro-polarizer array (MPA)—a spatial multiplexing of pixel-sized wiregrid analyzers. The limitation of MPA-based polarimetric imaging is the loss of spatial resolution and light received by each pixel. Reconstructing the degree and the angle of linear polarization (DoLP and AoLP, respectively) from MPA accurately requires the joint application of demosaicking (to demodulate the spatial modulation of the wiregrid analyzers) and denoising (to account for photon and thermal noise). We propose a wavelet-based Bayesian estimation technique for jointly demosaicking and denoising 2 × 2 MPA-sampled sensor data.
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Raffoul et al. (2024) studied this question.
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