Correspondence imaging based on correlation coefficients

Xuri Yao; Xuefeng Liu; Wenkai Yu; Guangjie Zhai

doi:10.3788/COL201513.010301

Correspondence imaging based on correlation coefficients

Xuri Yao, Xuefeng Liu, Wenkai Yu, Guangjie Zhai^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

In the context of correspondence ghost imaging, we utilize the correlation coefficients to separate the reference detector speckle patterns into positive and negative correlated parts. A positive image and a negative image of the object are obtained by averaging over corresponding speckle patterns. The visibility and contrast-to-noise ratio of the positive image are discussed, and it is found that the latter will reach a maximum by averaging over a little less than half of the total number of reference speckle patterns.

Original language	English
Article number	010301
Journal	Chinese Optics Letters
Volume	13
Issue number	1
DOIs	https://doi.org/10.3788/COL201513.010301
Publication status	Published - 10 Jan 2015
Externally published	Yes

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Yao, X., Liu, X., Yu, W., & Zhai, G. (2015). Correspondence imaging based on correlation coefficients. Chinese Optics Letters, 13(1), Article 010301. https://doi.org/10.3788/COL201513.010301

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author = "Xuri Yao and Xuefeng Liu and Wenkai Yu and Guangjie Zhai",

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N2 - In the context of correspondence ghost imaging, we utilize the correlation coefficients to separate the reference detector speckle patterns into positive and negative correlated parts. A positive image and a negative image of the object are obtained by averaging over corresponding speckle patterns. The visibility and contrast-to-noise ratio of the positive image are discussed, and it is found that the latter will reach a maximum by averaging over a little less than half of the total number of reference speckle patterns.

AB - In the context of correspondence ghost imaging, we utilize the correlation coefficients to separate the reference detector speckle patterns into positive and negative correlated parts. A positive image and a negative image of the object are obtained by averaging over corresponding speckle patterns. The visibility and contrast-to-noise ratio of the positive image are discussed, and it is found that the latter will reach a maximum by averaging over a little less than half of the total number of reference speckle patterns.

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Correspondence imaging based on correlation coefficients

Abstract

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