Holographic image processing method and holographic image processing apparatus
AssigneesSamsung Electronics Co., Ltd., University-Industry Cooperation Group of Kyung Hee University
InventorsHyeonseung Yu, Sung-Wook Min, Youngrok Kim, Wontaek Seo, Daeho Yang, Hongseok Lee
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Abstract
Provided is a holographic image processing apparatus including a memory configured to store at least one instruction, and a processor configured to execute the at least one instruction stored in the memory to generate a corrected holographic image by correcting an original holographic image captured by a holographic camera based on a neural network configured to learn hologram correction in advance.
Claims17
A holographic image processing apparatus comprising:
- a memory configured to store at least one instruction;
- and
- a processor configured to execute the at least one instruction stored in the memory to generate a corrected holographic image by correcting an original holographic image captured by a holographic camera based on a neural network configured to learn hologram correction in advance,
- wherein the processor is further configured to generate a training data set by propagating N original images captured by the holographic camera to a preset depth, and
- wherein the neural network is further configured to receive the training data set to generate a corrected hologram set comprising corrected holographic images, generate a reproduction image set by propagating corrected holographic images to depths corresponding to original depths of the N original images, and obtain a loss value by comparing the reproduction image set with an original image set.
A holographic image processing method comprising:
- training a neural network based on a training data set generated based on propagating N original images captured by a holographic camera to a preset depth;
- and
- generating a corrected holographic image by correcting an original holographic image captured by the holographic camera based on the neural network configured to learn hologram correction in advance,
- wherein the training of the neural network comprises generating a corrected hologram set comprising corrected holographic images by inputting the training data set to the neural network, generating a reproduction image set by propagating corrected holographic images to depths corresponding to original depths of the N original images, and obtaining a loss value by comparing the reproduction image set with an original image set.
A holographic image processing system comprising:
- a holographic camera configured to capture an original holographic image;
- a holographic image processing apparatus comprising:
- a memory configured to store at least one instruction;
- and
- a processor configured to execute the at least one instruction stored in the memory to generate a corrected holographic image by correcting the original holographic image based on a neural network configured to learn hologram correction in advance,
- wherein the processor is further configured to generate a training data set by propagating N original images captured by the holographic camera to a preset depth, and
- wherein the neural network is further configured to receive the training data set to generate a corrected hologram set comprising corrected holographic images, generate a reproduction image set by propagating corrected holographic images to depths corresponding to original depths of the N original images, and obtain a loss value by comparing the reproduction image set with an original image set.
Dependencies are inferred from the claim text.