Speckle reconstruction based on oversampling smoothness algorithm

Hui Chen; Yesheng Gao; Xingzhao Liu

doi:10.1117/12.2316780

24 April 2018 Speckle reconstruction based on oversampling smoothness algorithm

Hui Chen, Yesheng Gao, Xingzhao Liu

Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 107111T (2018) https://doi.org/10.1117/12.2316780
Event: SPIE Structured Light, 2018, Yokohama, Japan

Abstract

Target object image would deteriorate into unrecognizable speckle pattern when encountering with scattering media. It’s necessary to reconstruct the target object image from captured speckle. In this paper, a method combining correlation method and oversampling smoothness is proposed. It is used for target object reconstruction from scattered speckle pattern. The reconstruction is based on the Fourier transform of the target object. The Fourier amplitude of the target object can be calculated through an inverse Fourier transform of the autocorrelation of captured speckle pattern. The Fourier phase can be recovered with oversampling smoothness method. Experiments were used to comparing the proposed C-OSS method with the C-ERHIO method. The results indicate that the proposed method improves the reconstruction with lower background components than the other. The proposed method can also be applied to optical image encryption et al.

Citation Download Citation

Hui Chen, Yesheng Gao, and Xingzhao Liu "Speckle reconstruction based on oversampling smoothness algorithm", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111T (24 April 2018); https://doi.org/10.1117/12.2316780

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