Deep computational holography
AssigneeIntel Corporation
InventorsAlexey Supikov, Qiong Huang, Anders Grunnet-Jepsen, Paul Winer, Ronald T. Azuma, Ofir Mulla
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Abstract
Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a suitable propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.
Claims20
A system, comprising:
- a memory to store target holographic image data and multi-channel image data corresponding to the target holographic image data, the multi-channel image data having an amplitude component channel and a phase component channel;
- and
- a processor coupled to the memory, the processor to:
- apply a pre-trained deep neural network to the multi-channel image data to generate intermediate diffraction pattern image data corresponding to the target holographic image data;
- and
- apply an iterative process using a propagation model to the intermediate diffraction pattern image data to generate final diffraction pattern image data, wherein the propagation model corresponds to a holographic imaging arrangement to generate a holographic image using diffraction pattern image data.
A method, comprising:
- receiving target holographic image data and multi-channel image data corresponding to the target holographic image data, the multi-channel image data having an amplitude component channel and a phase component channel;
- applying a pre-trained deep neural network to the multi-channel image data to generate intermediate diffraction pattern image data corresponding to the target holographic image data;
- and
- applying an iterative process using a propagation model to the intermediate diffraction pattern image data to generate final diffraction pattern image data, wherein the propagation model corresponds to a holographic imaging arrangement to generate a holographic image using diffraction pattern image data.
At least one non-transitory machine readable medium comprising a plurality of instructions that, in response to being executed on a computing device, cause the computing device to generate holographic images by:
- receiving target holographic image data and multi-channel image data corresponding to the target holographic image data, the multi-channel image data having an amplitude component channel and a phase component channel;
- applying a pre-trained deep neural network to the multi-channel image data to generate intermediate diffraction pattern image data corresponding to the target holographic image data;
- and
- applying an iterative process using a propagation model to the intermediate diffraction pattern image data to generate final diffraction pattern image data, wherein the propagation model corresponds to a holographic imaging arrangement to generate a holographic image using diffraction pattern image data.
Dependencies are inferred from the claim text.