ITERATIVE ALGORITHMS FOR TWIN-IMAGE ELIMINATION IN IN-LINE HOLOGRAPHY USING FINITE-SUPPORT CONSTRAINTS
ITERATIVE ALGORITHMS FOR TWIN-IMAGE ELIMINATION IN IN-LINE HOLOGRAPHY USING FINITE-SUPPORT CONSTRAINTS
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DOI：
10.1364/josaa.10.000423
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发表时间：
1993-03-01
影响因子：
1.9
通讯作者：
JOYEUX, D
中科院分区：
文献类型：
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作者：
KOREN, G;POLACK, F;JOYEUX, D
具有相同信息但焦点不同的孪生像的线性叠加会严重降低同轴全息图的再现像质量。从实像平面上的重建场出发，利用聚焦波(实像)支撑外的散焦波(虚像)中包含的未受污染的信息，结合有限支撑约束，形成一种消除孪生像的迭代过程。该算法可以重建复杂的物体，只要它们不是在非常近场的条件下记录的。对于真实对象，可以施加额外的约束，将算法应用扩展到非常近场的条件。研究了算法在这两种情况下的收敛性质，并给出了算例。
The quality of reconstructed images from in-line holograms can be seriously degraded by the linear superposition of twin images having the same information but different foci. Starting from the reconstructed field at the real image plane, we make use of the uncontaminated information contained in the out-of-focus wave (virtual image) outside the in-focus wave (real image) support, together with a finite-support constraint, to form an iterative procedure for twin-image elimination. This algorithm can reconstruct complex objects, provided that they are not recorded in very near-field conditions. For real objects additional constraints can be imposed, extending the algorithm application to very near-field conditions. The algorithm's convergence properties are studied in both cases, and some examples are shown.