[ITuAE] Imaging II

[ITuAE-04] Phase Distortion Suppression by Deep Neural Network-Based Single-Pixel Imaging

*Moe Sakurai¹, Hiroki Takahara¹, Shuntaro Aragaki¹, Kaito Nakao¹, Taku Hoshizawa¹, Eriko Watanabe¹ (1. The Univ. Electro-Communications (Japan))

[Presentation Style] Onsite

We experimentally demonstrate the suppression of time-fluctuating spatial noise using a deep neural-network-based single-pixel imaging system. To quantify the time-fluctuating spatial noise, we express the spatial noise as phase plane distortions based on the Kolmogorov theory.