Optical pixel-to-plane encoding with neural network for ghost transmission through complex scattering media

Yang Peng; Wen Chen

doi:10.1117/12.3021713

15 February 2024 Optical pixel-to-plane encoding with neural network for ghost transmission through complex scattering media

Yang Peng, Wen Chen

Author Affiliations +

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 130690R (2024) https://doi.org/10.1117/12.3021713
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

Ghost transmission through scattering media remains an open question. Here, we present high-fidelity ghost transmission through complex scattering media using random patterns as information carriers. Pixel values of an analog signal to be transmitted are sequentially encoded into random patterns by employing the untrained neural network (UNN). In optical experiments, the laser beam illuminates the designed random patterns and passes through complex scattering media. The light intensities recorded by a single-pixel detector are used to retrieve the encoded analog signal. Experimental results demonstrate that the developed pixel-to-plane pattern encoding can achieve high-quality ghost transmission through complex scattering media. The method provides a solution for ghost transmission in complex environments by applying UNN for optical encoding.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Peng and Wen Chen "Optical pixel-to-plane encoding with neural network for ghost transmission through complex scattering media", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 130690R (15 February 2024); https://doi.org/10.1117/12.3021713

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