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Hiding information and images via deep learning

机译:通过深度学习隐瞒信息和图像

摘要

The present disclosure provides systems and methods for hiding information using deep neural networks. In one example, a computer-implemented method is provided to train neural networks for hiding images, which includes inputting a package image and a cover image into an image hiding neural network and generating a carrier image as an output, the carrier image comprising the package image hidden within the cover image. The method includes inputting the carrier image into an image decoding neural network and generating a reconstruction of the package image as an output. The method includes simultaneously training the image decoding neural network based at least in part on a first loss function that describes a difference between the package image and the reconstruction of the package image and the image hiding neural network based at least in part on the first loss function and on a second loss function that describes a difference between the cover image and the carrier image.
机译:本公开提供了用于使用深神经网络隐藏信息的系统和方法。在一个示例中,提供计算机实现的方法以训练用于隐藏图像的神经网络,其包括将封装图像和封面图像输入到图像隐藏神经网络中并产生载波图像作为输出,包括包的载体图像隐藏在封面图像中的图像。该方法包括将载体图像输入到图像解码神经网络中并生成作为输出的包装图像的重建。该方法包括至少部分地基于第一损耗功能同时训练图像解码神经网络,该第一损耗功能至少部分地基于第一损耗基于封装图像和图像隐藏神经网络之间的差异功能和在第二损耗功能上描述封面图像和载波图像之间的差异。

著录项

  • 公开/公告号US11080809B2

    专利类型

  • 公开/公告日2021-08-03

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US201816614983

  • 发明设计人 SHUMEET BALUJA;

    申请日2018-02-13

  • 分类号G06T1;G06N3/04;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 20:18:08

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