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使用结构张量对数字全息术中的多截面物体进行自动聚焦。

Automatic focusing for multisectional objects in digital holography using the structure tensor.

作者信息

Ren Zhenbo, Chen Ni, Lam Edmund Y

出版信息

Opt Lett. 2017 May 1;42(9):1720-1723. doi: 10.1364/OL.42.001720.

Abstract

Determining the axial position of the recorded object in digital holography is a crucial step for image reconstruction. When multiple discrete sections of a three-dimensional object are overlapping each other, this issue becomes more challenging. In this Letter, an autofocusing algorithm using the structure tensor and its eigenvalues is proposed. This method can extract the focal distance of each section for a multi-sectional object irrespective of whether the sections are overlapping or not. We validate the applicability of the proposed technique with synthesized and experimental data using two types of holographic systems.

摘要

确定数字全息术中记录物体的轴向位置是图像重建的关键步骤。当三维物体的多个离散截面相互重叠时,这个问题变得更具挑战性。在本信函中,提出了一种使用结构张量及其特征值的自动聚焦算法。该方法可以提取多截面物体各截面的焦距,而不管这些截面是否重叠。我们使用两种全息系统的合成数据和实验数据验证了所提技术的适用性。

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