Intel corporation (20250004421). REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK
REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK
Organization Name
Inventor(s)
Alexey Supikov of Santa Clara CA US
Ronald T. Azuma of San Jose CA US
REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK
This abstract first appeared for US patent application 20250004421 titled 'REAL TIME HOLOGRAPHY USING LEARNED ERROR FEEDBACK
Original Abstract Submitted
techniques related to generating holographic images for a holographic heads up display 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 an iterative propagation feedback model. the iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane of the heads up display.