Nape Isaac, Forbes Andrew
School of Physics, University of the Witwatersrand, Johannesburg, South Africa.
Light Sci Appl. 2024 Sep 5;13(1):232. doi: 10.1038/s41377-024-01575-2.
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.
透明物体对于传统相机来说是不可见的,因为传统相机只能检测强度波动,因此需要进行干涉测量,随后进行计算密集型数字图像处理。现在研究表明,通过将机器学习和衍射光学相结合,可以光学方式执行必要的变换,从而使用传统相机对透明物体进行直接原位测量。