On-chip photonic neural network processors speed up image processing, but their scalability is limited by the number of input/output channels. Here, the authors develop a scalable image processing approach based on the compressive acquisition of real-world visual information via a single-input channel, and apply their setup as a compressive temporal encoder for highspeed imaging.
- Tomoya Yamaguchi
- Kohei Arai
- Satoshi Sunada
