International Display Workshops Incorporated Association

2:30 PM - 5:00 PM

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

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

Single-Pixel Imaging, Deep Learning, Recurrent Neural Network

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

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.