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

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.