Demonstration of correlated imaging enhancement with divergence enlargement algorithms

Ling Yu Dou; De Qin Xu; De Zhong Cao; Xin Bing Song

doi:10.1016/j.optcom.2018.08.029

Demonstration of correlated imaging enhancement with divergence enlargement algorithms

Ling Yu Dou, De Qin Xu^*, De Zhong Cao, Xin Bing Song

^*此作品的通讯作者

物理学院

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

We propose advanced image enhancement algorithms for conventional ghost imaging. The algorithms are based on modulating the bucket signals to enlarge their divergence. In this paper, we adopt three mathematical functions: power function like f(B)=Bⁿ, exponential function like f(B)=exp(p⋅B), and self modulation function like f(B)=B^q⋅B, where B is the bucket intensity in the object path. Our experimental results demonstrate the enhancement of the contrast of the correlated images with these algorithms.

源语言	英语
页（从-至）	68-72
页数	5
期刊	Optics Communications
卷	430
DOI	https://doi.org/10.1016/j.optcom.2018.08.029
出版状态	已出版 - 1 1月 2019

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title = "Demonstration of correlated imaging enhancement with divergence enlargement algorithms",

abstract = "We propose advanced image enhancement algorithms for conventional ghost imaging. The algorithms are based on modulating the bucket signals to enlarge their divergence. In this paper, we adopt three mathematical functions: power function like f(B)=Bn, exponential function like f(B)=exp(p⋅B), and self modulation function like f(B)=Bq⋅B, where B is the bucket intensity in the object path. Our experimental results demonstrate the enhancement of the contrast of the correlated images with these algorithms.",

keywords = "Contrast, Correlated imaging, Divergence enlargement algorithms",

author = "Dou, {Ling Yu} and Xu, {De Qin} and Cao, {De Zhong} and Song, {Xin Bing}",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",

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AU - Dou, Ling Yu

AU - Xu, De Qin

AU - Cao, De Zhong

AU - Song, Xin Bing

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Y1 - 2019/1/1

N2 - We propose advanced image enhancement algorithms for conventional ghost imaging. The algorithms are based on modulating the bucket signals to enlarge their divergence. In this paper, we adopt three mathematical functions: power function like f(B)=Bn, exponential function like f(B)=exp(p⋅B), and self modulation function like f(B)=Bq⋅B, where B is the bucket intensity in the object path. Our experimental results demonstrate the enhancement of the contrast of the correlated images with these algorithms.

AB - We propose advanced image enhancement algorithms for conventional ghost imaging. The algorithms are based on modulating the bucket signals to enlarge their divergence. In this paper, we adopt three mathematical functions: power function like f(B)=Bn, exponential function like f(B)=exp(p⋅B), and self modulation function like f(B)=Bq⋅B, where B is the bucket intensity in the object path. Our experimental results demonstrate the enhancement of the contrast of the correlated images with these algorithms.

KW - Contrast

KW - Correlated imaging

KW - Divergence enlargement algorithms

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DO - 10.1016/j.optcom.2018.08.029

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VL - 430

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JO - Optics Communications

JF - Optics Communications

ER -

Demonstration of correlated imaging enhancement with divergence enlargement algorithms

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