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无孪生像全息术:一种压缩感知方法。

Twin-Image-Free Holography: A Compressive Sensing Approach.

机构信息

State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China.

Department of Electrical and Computer Engineering, Box 90291, Duke University, Durham, North Carolina 27708, USA.

出版信息

Phys Rev Lett. 2018 Aug 31;121(9):093902. doi: 10.1103/PhysRevLett.121.093902.

Abstract

Holographic reconstruction is troubled by the phase-conjugate wave front arising from Hermitian symmetry of the complex field. The so-called twin image obfuscates the reconstruction in solving the inverse problem. Here we quantitatively reveal how and how much the twin image affects the reconstruction and propose a compressive sensing (CS) approach to reconstruct a hologram completely free from the twin image. Using the canonical basis, the incoherence condition of CS is naturally satisfied by the Fourier transformation associated with wave propagation. With the propagation kernel function related to the distance, the object wave diffracts into a sharp pattern while the phase-conjugate wave diffracts into a diffuse pattern. An iterative algorithm using a total variation sparsity constraint could filter out the diffuse conjugated signal and overcome the inherent physical symmetry of holographic reconstruction. The feasibility is verified by simulation and experimental results, as well as a comparative study to an existing phase retrieval method.

摘要

全息重建受到复场厄米对称性产生的相位共轭波前的困扰。所谓的孪生像使得在解决逆问题时的重建变得模糊。在这里,我们定量地揭示了孪生像如何以及在多大程度上影响重建,并提出了一种压缩感知 (CS) 方法,可以完全避免孪生像的影响来重建全息图。使用规范基,CS 的非相干条件通过与波传播相关的傅里叶变换自然得到满足。随着与距离相关的传播核函数,物波衍射成一个尖锐的图案,而相位共轭波衍射成一个弥散的图案。使用全变差稀疏约束的迭代算法可以滤除弥散的共轭信号,并克服全息重建固有的物理对称性。通过仿真和实验结果以及与现有相位恢复方法的比较研究验证了其可行性。

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