Abstract
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 distortions based on the Kolmogorov theory.
© 2022 IEEE
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