arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.03426physics.opticseess.IV
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基于随机散斑场的组合优化鬼成像

Combined optimization ghost imaging based on random speckle field

Zhiqing Yang, Cheng Zhou, Gangcheng Wang, Lijun Song

AI总结:

针对鬼成像需大量测量数据、分辨率低且重建慢的问题,提出结合QR分解等正交方法与Kronecker积的散斑图案优化方案,以提升成像效率与质量。

摘要:

鬼成像是一种非局域成像技术,通过测量参考光场与目标探测光场的二阶强度关联获取目标信息。但当前成像环境需要大量测量数据,成像结果还存在图像分辨率低、重建时间长的问题。因此,本研究利用QR分解等正交方法,结合Kronecker积设计了多种散斑图案优化方法,能够缩短成像时间、提升成像质量与图像抗噪能力。

英文摘要:

Ghost imaging is a non local imaging technology, which can obtain target information by measuring the second-order intensity correlation between the reference light field and the target detection light field. However, the current imaging environment requires a large number of measurement data, and the imaging results also have the problems of low image resolution and long reconstruction time. Therefore, using orthogonal methods such as QR decomposition, a variety of optimization methods for speckle patterns are designed combined with Kronecker product,which can help to shorten the imaging time, improve the imaging quality and image noise resistance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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