Fringe pattern denoising based on deep learning

In this paper, deep learning as a novel algorithm is proposed to reduce the noise of the fringe patterns. Usually, the training samples are acquired through experimental acquisition, but these data can be easily obtained by simulations in the proposed algorithm. Thus, the time cost used for the whol...

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Main Authors: Yan, Ketao, Yu, Yingjie, Huang, Chongtian, Sui, Liansheng, Qian, Kemao, Asundi, Anand Krishna
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2021
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在線閱讀:https://hdl.handle.net/10356/151313
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機構: Nanyang Technological University
語言: English