Abstract In this paper, we propose Fourier Volumetric Computational Reconstruction (FVCR), which is a new computational integral imaging reconstruction (CIIR) algorithm. It handles physical pixel overlapping by refocusing in the Fourier domain. Thus, the longitudinal resolution of the reconstructed 3D image is the same as optical reconstruction. It also considers the lateral resolution limit of integral imaging and minimizes the computational load in CIIR. To verify the improvements in both lateral and longitudinal resolution of the reconstructed 3D image, in this paper, we implemented optical experiments. To the best of our knowledge, this is the first report of the efficient CIIR algorithm that considers the longitudinal and lateral resolution limits of integral imaging.

中文翻译：

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具有最佳可视化像素的积分成像中的傅里叶聚焦

摘要 在本文中，我们提出了傅立叶体积计算重建（FVCR），这是一种新的计算积分成像重建（CIIR）算法。它通过在傅立叶域中重新聚焦来处理物理像素重叠。因此，重建的 3D 图像的纵向分辨率与光学重建相同。它还考虑了积分成像的横向分辨率限制，并最大限度地减少了 CIIR 的计算量。为了验证重建 3D 图像的横向和纵向分辨率的改进，在本文中，我们实施了光学实验。据我们所知，这是第一份考虑积分成像纵向和横向分辨率限制的高效 CIIR 算法的报告。