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

^*Corresponding author for this work

School of Physics

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

6 Citations (Scopus)

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)=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.

Original language	English
Pages (from-to)	68-72
Number of pages	5
Journal	Optics Communications
Volume	430
DOIs	https://doi.org/10.1016/j.optcom.2018.08.029
Publication status	Published - 1 Jan 2019

Keywords

Contrast
Correlated imaging
Divergence enlargement algorithms

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10.1016/j.optcom.2018.08.029

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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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doi = "10.1016/j.optcom.2018.08.029",

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AU - Dou, Ling Yu

AU - Xu, De Qin

AU - Cao, De Zhong

AU - Song, Xin Bing

PY - 2019/1/1

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

UR - http://www.scopus.com/inward/record.url?scp=85051824278&partnerID=8YFLogxK

U2 - 10.1016/j.optcom.2018.08.029

DO - 10.1016/j.optcom.2018.08.029

M3 - Article

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SN - 0030-4018

VL - 430

SP - 68

EP - 72

JO - Optics Communications

JF - Optics Communications

ER -

Demonstration of correlated imaging enhancement with divergence enlargement algorithms

Abstract

Keywords

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