Opt Express. 2023 Apr 24;31(9):13536-13551. doi: 10.1364/OE.483268.
With the development of nanotechnology, the division of focal plane (DoFP) infrared polarization imaging system with real-time imaging has matured. Meanwhile, the demand for real-time acquisition of polarization information is growing, but the super-pixel structure of the DoFP polarimeter will bring instantaneous field of view (IFoV) errors. Existing polarization demosaicking methods cannot satisfy both accuracy and speed in terms of efficiency and performance. According to the characteristics of DoFP, this paper proposes an edge compensation demosaicking method by analyzing the channel correlations of polarized images. The method performs demosaicing in the differential domain, and the proposed method's performance is verified by comparison experiments using synthetic and authentic polarized images in the near-infrared (NIR) band. The proposed method outperforms the state-of-the-art methods in terms of accuracy and efficiency. It achieves an average peak signal-to-noise ratio (PSNR) improvement of 2 db on public datasets compared to current state-of-the-art methods. A typical 768 × 1024 specification short-wave infrared (SWIR) polarized image can be processed in 0.293s on the Intel Core i7-10870 H CPU, and the technique significantly outperforms various existing demosaicking methods.
随着纳米技术的发展，具有实时成像功能的焦平面（DoFP）红外偏振成像系统已经成熟。同时，对实时获取偏振信息的需求也在增长，但 DoFP 偏振仪的超像素结构会带来瞬时视场（IFoV）误差。现有的偏振解混方法在效率和性能方面都不能同时满足精度和速度的要求。根据 DoFP 的特点，本文提出了一种基于分析偏振图像通道相关性的边缘补偿解混方法。该方法在差分域中进行解混，通过在近红外（NIR）波段使用合成和真实偏振图像进行对比实验验证了所提出方法的性能。与现有的最先进方法相比，该方法在准确性和效率方面都有了显著提高。在公共数据集上，与当前最先进的方法相比，平均峰值信噪比（PSNR）提高了 2dB。在 Intel Core i7-10870H CPU 上，典型的 768×1024 规格的短波红外（SWIR）偏振图像可以在 0.293s 内处理，该技术明显优于各种现有的解混方法。
