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. 2018 May 10;57(14):3859-3863.
doi: 10.1364/AO.57.003859.

Deep-learning-generated holography

Ryoichi Horisaki, Ryosuke Takagi, Jun Tanida

Deep-learning-generated holography

Ryoichi Horisaki et al. Appl Opt. .

Abstract

We present a method for computer-generated holography based on deep learning. The inverse process of light propagation is regressed with a number of computationally generated speckle data sets. This method enables noniterative calculation of computer-generated holograms (CGHs). The proposed method was experimentally verified with a phase-only CGH.

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