Compressive full-Stokes polarization and flexible hyperspectral imaging with efficient reconstruction
Axin Fan, Tingfa Xu, Jianan Li, Geer Teng, Xi Wang, Yuhan Zhang, Chang Xu
Abstract
Polarization hyperspectral compressive imaging has wide application prospects due to reflecting rich information of the target from the spatial, spectral and polarization dimensions. However, compressive imaging methods are limited in system complexity and reconstruction efficiency. In this paper, the combination of a quarter-wave plate, a linear polarizer and a liquid crystal tunable filter enables compressive full-Stokes polarization and flexible hyperspectral imaging. Then, the four Stokes parameters can be quickly reconstructed with high precision through numerical operations and compressive sensing. Both simulations and experiments verify the effectiveness of this method. Compared with the feature scaling method, this work shortens the reconstruction time by 83.73%, and greatly improves the reconstruction result of the first Stokes parameter from limited reconstruction to accurate solution. This work not only gives insights from efficient reconstruction to system design, but also creates conditions for the application of polarization hyperspectral imaging in specific fields.