Computational spectro-polarimetric imaging with resolution-preserving demosaicking

Light fields contain rich information, including intensity, spectrum, and polarization, but conventional imaging systems are often monofunctional for spectral or polarization measurements, limiting their application scenarios. This work proposes a spectro-polarimetric imaging system that integrates computational spectral and polarization imaging to simultaneously capture both types of information. Using a division of focal plane (DoFP) polarization camera and 16 polarization-independent broadband filters to modulate and capture spectral-polarimetric content, the system reconstructs data at four polarization angles (0°, 45°, 90°, 135°) across 31 spectral bands (400-700 nm, 10 nm intervals) with a high spatial resolution of 2448 × 2048, achieving the full spatial-resolution of the polarization camera and enabling the extraction of the three Stokes parameters (S 0 , S 1 , S 2 ), along with the degree of linear polarization (DoLP) and angle of polarization (AoP). The ISTA-ResUNet framework for spectral reconstruction and a resolution-preserving demosaicking algorithm for recovering high-resolution polarization images are developed. The system achieves outstanding results, including a 98.87% spectral fidelity in reconstructing a 24-color chart. Both simulations and experiments demonstrate exceptional performance in spectral and polarization image reconstruction, making this system a powerful tool for remote sensing, material inspection, and biomedical imaging.