Open Access
EPJ Web Conf.
Volume 238, 2020
EOS Annual Meeting (EOSAM 2020)
Article Number 06009
Number of page(s) 2
Section Topical Meeting (TOM) 6- Frontiers in Optical Metrology
Published online 20 August 2020
  1. Q. Kemao, Two-dimensional windowed fourier transform for fringe pattern analysis: Principles, applications and implementations, Opt. & Las. Eng., vol. 45, no. 12, pp. 1146–1192, 2007 [Google Scholar]
  2. H. Wang and Q. Kemao, Comparative analysis on some spatial domain filters for fringe pattern denoising, Appl. Opt. 50 (12), [Google Scholar]
  3. Ronneberger, O., Fischer, P., & Brox, T. U-net: Convolutional networks for biomedical image segmentation. International Conference on Medical image computing and computer-assisted intervention. 2015. [Google Scholar]
  4. Heinrich, M.P., Stille, M. and Buzug, T.M. Residual U-net convolutional neural network architecture for low-dose CT denoising. Current Directions in Biomedical Engineering, 4(1),pp.297-300. [Google Scholar]
  5. Lattari, Francesco, et al. Deep learning for SAR image despeckling. Remote Sensing 11.13, 2019 [Google Scholar]
  6. Ketao Yan, Yingjie Yu, Tao Sun, et al. Wrapped phase denoising using convolutional neural networks. Optics and Lasers in Engineering, 2020 [Google Scholar]
  7. Diederik P. Kigma, Jimmy BA. Adam: A method for stochastic optimization. 2014. [Google Scholar]
  8. Zhou Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing. 2004 [Google Scholar]

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