Deep-learning-generated holography

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 w...

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Bibliographic Details
Published inApplied optics. Optical technology and biomedical optics Vol. 57; no. 14; p. 3859
Main Authors Horisaki, Ryoichi, Takagi, Ryosuke, Tanida, Jun
Format Journal Article
LanguageEnglish
Published United States 10.05.2018
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Summary: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.
ISSN:2155-3165
DOI:10.1364/AO.57.003859