Fast demosaicing technology for infrared focal-plane-array polarization imaging based on superpixel stokes vector frequency reduction

Demosaicing technology stands as one of the most critical components in polarization filter arrays (PFAs) image processing, directly determining the quality of reconstructed information from the division of focal plane (DoFP) polarization imaging system. To address the challenges of large instantaneous field-of-view (IFoV) errors and poor polarization reconstruction accuracy in DoFP polarization imaging systems, we introduce two novel prior constraints, to our knowledge, related to the system's extinction ratio and non-uniformity based on PFA superpixel methodology. Through systematic calibration of the imaging system to obtain these prior parameters, we propose a superpixel Stokes vector frequency reduction approach and validate its effectiveness through comparative analysis with conventional polarization difference models. The method employs inverse distance weighted (IDW) interpolation for Stokes vector reconstruction at the superpixel level, enabling retrieval of all four angular measurements per pixel to complete the demosaicing process. Subjective visual evaluations and objective quantitative metrics demonstrate that our algorithm achieves comparable performance to state-of-the-art methods while offering closer approximation to ground truth polarization parameters, reduced computational complexity, and enhanced suitability for embedded engineering implementation.