Abstract-Learning-Based Shadow Mitigation for Terahertz Multi-Layer Imaging

P, Wang, T. Koike-Akino,  A. Bose, R. Ma,  P.V. Orlik,  W.Tsujita,  K. Sadamoto,  H. Tsutada,
M. Soltanalian

http://www.merl.com/publications/docs/TR2019-090.pdf

This paper proposes a learning-based approach to mitigate the shadow effect in the pixel domain for Terahertz Time-Domain Spectroscopy (THz-TDS) multi-layer imaging. Compared with model-based approaches, this learning-based approach requires no prior knowledge of material properties of the sample. Preliminary simulations confirm the effectiveness of the proposed method.

 International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)