Zernike Coefficient Prediction Technique for Interference Based on Generation Adversarial Network

Zernike Coefficient Prediction Technique for Interference Based on Generation Adversarial Network

In the paper, we propose a novel prediction technique to predict Zernike coefficients from interference fringes based on Generative Adversarial Network (GAN). In general, the task of GAN is image-to-image translation, but we design GAN for image-to-number translation. In the GAN model, the Generator...

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Bibliographic Details
Main Authors: Allen Jong-Woei Whang, Yi-Yung Chen, Tsai-Hsien Yang, Cheng-Tse Lin, Zhi-Jia Jian, Chun-Han Chou
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
generation adversarial network
interference fringe
Zernike coefficient
transfer learning
Online Access:https://www.mdpi.com/2076-3417/11/15/6933

Internet

https://www.mdpi.com/2076-3417/11/15/6933

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