Fringe pattern denoising based on deep learning

• Main Authors: Yan, Ketao, Yu, Yingjie, Huang, Chongtian, Sui, Liansheng, Qian, Kemao, Asundi, Anand Krishna
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Mechanical engineering; Fringe Pattern; Denoising
• Online Access: https://hdl.handle.net/10356/151313

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...