Abstract
We show that an imperfectly aligned asphere-CGH-measurement leads to artifacts that are indistinguishable from common manufacturing errors such as trefoil and spherical aberration. We apply a machine learning approach to correct for these artifacts.
© 2019 The Author(s)
PDF ArticleMore Like This
Tu Shi, Dong Liu, Lei Zhang, Yongying Yang, and Yibing Shen
JTu5A.45 Computational Optical Sensing and Imaging (COSI) 2014
Piotr Szwaykowski and Artur Olszak
OThA3 Optical Fabrication and Testing (OF&T) 2010
Dae-Chan Kim, Ho-Youl Lee, Hyun-Jun Jang, Ook-Hee Lee, Jong-Sub Song, Jong Ung Lee, O Beom-Hoan, Se-Geun Park, El-Hang Lee, and Seung Gol Lee
JMB8 Optical Fabrication and Testing (OF&T) 2010