Seeing invisible objects with intelligent optics.

IF 19.4 1区 物理与天体物理 Q1 Physics and Astronomy
Isaac Nape, Andrew Forbes
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引用次数: 0

Abstract

Transparent objects are invisible to traditional cameras because they can only detect intensity fluctuations, necessitating the need for interferometry followed by computationally intensive digital image processing. Now it is shown that the necessary transformations can be performed optically by combining machine learning and diffractive optics, for a direct in-situ measurement of transparent objects with conventional cameras.

Abstract Image

用智能光学技术看到看不见的物体
透明物体是传统相机所无法看到的,因为它们只能检测到强度波动,因此需要先进行干涉测量,然后再进行计算密集型数字图像处理。现在的研究表明,通过将机器学习和衍射光学相结合,可以在光学上进行必要的转换,从而用传统相机直接对透明物体进行现场测量。
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来源期刊
CiteScore
27.00
自引率
2.60%
发文量
331
审稿时长
20 weeks
期刊介绍: Light: Science & Applications is an open-access, fully peer-reviewed publication.It publishes high-quality optics and photonics research globally, covering fundamental research and important issues in engineering and applied sciences related to optics and photonics.
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