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Learning-based signal retrieval from scattering media

Machine learning is an efficient tool to estimate input signals from the output ones for nonlinear systems. In case of object observation through scattering media with coherent illumination, the output signals could be speckle patterns highly disordered from the input ones. Even for the case, machine learning is effective to retrieve the input information. In the method, a number of pairs of input and output signals are used for training, and then untrained input signals can be retrieved from the observed output signals. We demonstrated object recognition, imaging, and focusing through scattering media and confirmed effectiveness of the presented method.