2022
DOI: 10.1088/1367-2630/ac62b3
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Unsighted ghost imaging for objects completely hidden inside turbid media

Abstract: Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. However, the patterns on the object are required to be known, which highly limits its application scenarios, especially in a strong scattering environment. We here propose a scheme that removes this basic requirement, and enables GI to non-invasively image objects through turbid media. As experimental proof, we … Show more

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Cited by 5 publications
(2 citation statements)
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References 27 publications
(34 reference statements)
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“…Shi等 [61] 将自适应光学技术引入关联成像中以解 决大气湍流的问题, 其实验结果如图9所示, 图像 质量相对传统关联成像有明显提升. 2021年, Li 等 [62] 将偏振成像技术引入到关联成像中, 提出了 基于直方图预处理的水下偏振差分关联成像方法.…”
Section: 年英国格拉斯哥大学以Dmd调制过的激光unclassified
“…Shi等 [61] 将自适应光学技术引入关联成像中以解 决大气湍流的问题, 其实验结果如图9所示, 图像 质量相对传统关联成像有明显提升. 2021年, Li 等 [62] 将偏振成像技术引入到关联成像中, 提出了 基于直方图预处理的水下偏振差分关联成像方法.…”
Section: 年英国格拉斯哥大学以Dmd调制过的激光unclassified
“…Ghost imaging (GI) exploits the second-order correlation of two photons to reconstruct an image [1,2], which is different from the conventional imaging methods that are based on the first-order interference and typically use lenses to construct images. Its imaging architecture possesses several advantages such as less sensitivity to optical turbulence [3,4], high detection sensitivity [5,6], lensless imaging capability [7], non-invasive imaging through strong scattering media [8], and being able to easily adapt to various scenarios [9][10][11]. During the past two decades, there is a growing body of research studies on GI, invoking a lot of potential applications in various fields ranging from optical imaging [12][13][14][15], X-ray imaging [16][17][18], atomic sensing [19,20], biological diagnostics [21], and feature extraction without image reconstruction [22,23] to physical encryption [24][25][26].…”
Section: Introductionmentioning
confidence: 99%