REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK

Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction p...

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Bibliographic Details
Main Authors Azuma, Ronald T, Supikov, Alexey, Huang, Qiong
Format Patent
LanguageEnglish
Published 16.04.2020
Subjects
CINEMATOGRAPHY
ELECTROGRAPHY
HOLOGRAPHIC PROCESSES OR APPARATUS
HOLOGRAPHY
PHOTOGRAPHY
PHYSICS
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Summary:Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction pattern image corresponding to the target holographic image by applying the iterative propagation feedback model based on the target holographic image and using the feedback strength value.
Bibliography:Application Number: US201916712779