Abstract
Division of Focal Plane (DoFP) polarimeters have demonstrated significant potential due to their ability to perform real-time imaging coupled with a simple structure. However, their sparse polarization sampling introduces instantaneous Field of View (IFoV) errors and challenges for image reconstruction quality. Existing demosaicking methods primarily consider individual polarization channels, limiting reconstruction precision. In this work, we propose a novel demosaicking approach leveraging correlations between polarization channels. Moreover, a direction criterion based on joint-channel-gradient is incorporated to reconstruct more accurate boundary features. Our method, as a balancing strategy, can be easily combined with other algorithms for further optimization. Evaluations using a publicly available database and actual DoFP polarimetric data demonstrate significant quality improvements over other advanced methods. Reconstructed images exhibit a noticeable enhancement of polarization-dependent details.
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