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System and method for lossy image and video compression and transmission utilizing neural networks

  • US 10,373,300 B1
  • Filed: 04/29/2019
  • Issued: 08/06/2019
  • Est. Priority Date: 04/29/2019
  • Status: Active Grant
First Claim
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1. A system for lossy image and video compression and transmission utilizing neural networks, comprising:

  • an image compression engine comprising a first processor, a first memory, and a first plurality of programming instructions stored in the first memory, wherein the first plurality of programming instructions, when operating on the first processor, cause the first processor to;

    receive a desired image;

    retrieve a noise image;

    map the noise image to the desired image using a first neural network to find hyperparameters such that the hyperparameters, when applied to the noise image using the first neural network, produce an approximation of the desired image within an error that is less than a pre-determined threshold; and

    transmit the hyperparameters; and

    an image decompression engine comprising a second processor, a second memory, and a second plurality of programming instructions stored in the memory, wherein the second plurality of programming instructions, when operating on the second processor, cause the second processor to;

    receive the hyperparameters;

    retrieve the noise image; and

    apply the hyperparameters to the noise image using a second neural network to produce an approximation of the desired image within an error that is less than the pre-determined threshold.

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