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High-visibility ghost imaging from artificially generated non-Gaussian intensity fluctuations
Author(s) -
Xue-Feng Liu,
Mingfei Li,
XuRi Yao,
Wen-Kai Yu,
Guang-Jie Zhai,
Ling-An Wu
Publication year - 2013
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4807655
Subject(s) - visibility , ghost imaging , speckle pattern , gaussian , intensity (physics) , optics , computer science , image quality , light field , quality (philosophy) , light intensity , image resolution , physics , computer vision , image (mathematics) , artificial intelligence , quantum mechanics
The image quality in ghost imaging is vital in practical applications. Through theoretical analysis, we find that for thermal light the average intensity as well as the fluctuations of an arbitrary incident field can greatly influence the image quality. Based on this, we suggest an easily realizable scheme to improve the visibility by generating speckles of non-Gaussian intensity distributions with a spatial light modulator. Numerical simulation demonstrates that this method can significantly improve the visibility, and the effect on the imaging resolution is also discussed. This method may thus be helpful in promoting the implementation of ghost imaging in real applications

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