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7 September 2018 Learning-based signal retrieval from scattering media
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Proceedings Volume 10834, Speckle 2018: VII International Conference on Speckle Metrology; 108340O (2018) https://doi.org/10.1117/12.2322800
Event: SPECKLE 2018: VII International Conference on Speckle Metrology, 2018, Janów Podlaski, Poland
Abstract
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.
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Jun Tanida and Ryoichi Horisaki "Learning-based signal retrieval from scattering media", Proc. SPIE 10834, Speckle 2018: VII International Conference on Speckle Metrology, 108340O (7 September 2018); https://doi.org/10.1117/12.2322800
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