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通过结构化相干对鬼成像复兴的实验观察

Experimental Observation of Ghost Image Revivals via Structured Coherence

Weining Wang, Yaning Zhou, Sergey A Ponomarenko, Yangjian Cai, Xin Liu

arXiv 2607.24486首次发表:更新:

AI 中文总结

研究通过将结构化热光场纵向强度自相关工程化为相干梳,首次实验观察到任意物体鬼图像复兴,突破传统鬼成像限制,增强相关成像灵活性,能对移动和非周期性复杂物体进行稳健层析成像。

AI 中文摘要

鬼成像通过两束光之间的强度关联来重建物体图像,两束光都不单独携带物体信息。然而,传统鬼成像严重依赖精确的物体定位和双臂共轭匹配,条件不满足时图像消失。本文通过将结构化热光场的纵向强度自相关工程化为相干梳,首次实验观察到任意物体鬼图像的复兴。固定参考臂,物体平移时,每当物体位置与梳齿位置匹配,鬼图像就会周期性复兴,类似塔尔博特效应。此能力增强了相关成像的灵活性,可对移动和非周期性复杂物体进行稳健的层析成像。

英文摘要

Ghost imaging retrieves an object's image from intensity correlations between two light beams, neither of which independently carries information about the object. However, conventional ghost imaging critically relies on precise object positioning and conjugate matching between the two arms, causing the image to disappear when these conditions are violated and the object is accessible from one plane only. In this Letter, we break this fundamental limitation by reporting the first experimental observation of revivals of ghost images of arbitrary objects via engineering the longitudinal intensity autocorrelation of a structured thermal light field into a coherence comb. With the reference arm fixed, translating the object produces periodic revivals of the ghost image whenever the object position matches a comb-tooth position, reminiscent of the Talbot effect. This capability enhances the flexibility of correlation imaging, enabling robust tomographic imaging of moving and non-periodic complex objects.

论文原文

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