首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain
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Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain

机译:分级傅立叶变换域中的3D相位检索算法使用分层光学双重图像相关性

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摘要

In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space.
机译:本文通过使用分数傅里叶变换域中的一系列随机功能顺序提出了分层光学双图像相关性。 在每个层级,将两个灰度输入图像分为放置在3D空间中的粒子状点,其使用具有分数傅里叶变换的一系列随机功能顺序的迭代相位检索算法编码为仅相位的模式。 结果说明,当压缩提取的相位模式时,可以有效地进行光学双灰度图像相关,而不会在3D空间中的每个层级处的输入信息的可视化。 该方法提供了一种用于3D光学安全的新策略,并且可以有效地提高3D空间中光学安全相关的灵活性。

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