[3DSAp2/3Dp2-13] Investigation of Single-Pixel Imaging using Recurrent Neural Network | Proceedings of the International Display Workshops Volume 26 (IDW '19)

Proceedings of the International Display Workshops Volume 26 (IDW '19)

Nov 27 - Nov 29, 2019Sapporo Convention Center

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Proceedings of the International Display Workshops Volume 26 (IDW '19)

Nov 27 - Nov 29, 2019Sapporo Convention Center

[3DSAp2/3Dp2-13]Investigation of Single-Pixel Imaging using Recurrent Neural Network

*Ikuo Hoshi¹, Tomoyoshi Shimobaba¹, Takashi Kakue¹, Tomoyoshi Ito¹(1. Chiba University (Japan))

https://doi.org/10.36463/idw.2019.0164

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Keywords:

Single-Pixel Imaging,Deep Learning,Recurrent Neural Network

We propose a reconstruction method for single-pixel imaging. Recently, reconstruction methods using deep neural networks have been studied. However, these methods need much calculation. In this paper, we investigated to reconstruct images from a single-pixel device using a recurrent neural network and decrease the calculation amount.

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