REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK

Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to gene...

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Bibliographic Details
Main Authors Azuma, Ronald T, Supikov, Alexey, Huang, Qiong
Format Patent
LanguageEnglish
Published 23.06.2022
Subjects
CALCULATING
CINEMATOGRAPHY
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTROGRAPHY
HOLOGRAPHIC PROCESSES OR APPARATUS
HOLOGRAPHY
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHOTOGRAPHY
PHYSICS
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Summary:Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.
Bibliography:Application Number: US202217691579