title: Learning-based imaging through scattering media.
abstract: 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, multilayer 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.
authors.forename: Ryoichi
authors.initials: R
authors.lastname: Horisaki
authors.forename: Ryosuke
authors.initials: R
authors.lastname: Takagi
authors.forename: Jun
authors.initials: J
authors.lastname: Tanida