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arXiv 2409.09459physics.optics
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相关性全光成像的创新方案

Innovative schemes for Correlation Plenoptic Imaging

Gianlorenzo Massaro, Francesco Di Lena, Augusto Garuccio, Francesco V. Pepe, Milena D'Angelo

AI总结:

本文综述任意平面间相关性全光成像方案,以克服传统全光成像分辨率与视角局限,并推导其图像重聚焦算法。

摘要:

CPI是一种新型成像模态,能够解决传统全光成像的固有局限,即分辨率损失和视角变化受限,同时保留全光成像的典型优势:三维成像、在后处理中对所获取图像进行重聚焦,以及景深扩展。在本工作中,我们综述了最近开发的一种CPI方案,名为任意平面之间的相关性全光成像,并推导了图像重聚焦算法。

英文摘要:

CPI is a novel imaging modality capable of addressing the intrinsic limitations of conventional plenoptic imaging - namely, the resolution loss and the sacrificed change of perspective, - while guaranteeing the typical advantages of plenotpic imaging: 3D imaging, refocusing of acquired pictures, in post-processing, and depth of field extension. In this work, we review a recently developed CPI scheme, named correlation plenoptic imaging between arbitrary planes, and derive the algorithm for image refocusing.

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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