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Learning-based imaging through scattering media
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DOI：10.1364/OE.24.013738.png)
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Abstract
En 中文
We present a machine-learning-based method for single-shot imaging through scattering media. The inverse scattering process was calculated based on a nonlinear regression algorithm by learning a number of training object-speckle pairs. In the experimental demonstration, multi-layer phase objects between scattering plates were reconstructed from intensity measurements. Our approach enables model-free sensing, where it is not necessary to know the sensing processes/models. (C) 2016 Optical Society of America
Keywords:
TRANSMISSION MATRIX
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