In practical applications, the target objects or cameras are usually moving during the exposure time of the camera array in synthetic aperture integral imaging. Thus, the elemental images we captured are all blurred and can not be used to 3D reconstruction. The existing deblurring methods are most designed for single-image deblurring and just a few for multi-image deblurring. Nevertheless, all of these methods can not be used for our problem because they contain no parallax information. To address this problem, we proposed a motion-blurring free 3D reconstruction in synthetic aperture integral imaging with parallax information. We calculate all the PSFs by using reference PSF and parallax information to get a 3D reconstruction result rapidly. The results of experiments we performed show that our proposed method is effective in integral imaging motion deblurring and 3D reconstruction.

在实际应用中，目标物体或摄像机通常在合成孔径积分成像中摄像机阵列的曝光时间内移动。因此，我们捕获的基本图像都模糊了，无法用于3D重建。现有的去模糊方法大多数设计用于单图像去模糊，而仅少数几种用于多图像去模糊。但是，所有这些方法都不能用于我们的问题，因为它们不包含视差信息。为了解决这个问题，我们提出了在具有视差信息的合成孔径积分成像中无运动模糊的3D重建方法。我们通过使用参考PSF和视差信息来计算所有PSF，以快速获得3D重建结果。