Safe and robust high-capacity image steganography method

A large-capacity, image-based technology, applied in the field of deep learning, can solve problems such as steganographic image distortion

Pending Publication Date: 2020-06-16
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] Purpose of the invention: The present invention provides a safe and robust large-capacity image steganography method by improving the network struct

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  • Safe and robust high-capacity image steganography method
  • Safe and robust high-capacity image steganography method
  • Safe and robust high-capacity image steganography method

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Embodiment Construction

[0060] The present invention will be described in further detail below in conjunction with the accompanying drawings. The present invention proposes a safe and robust large-capacity image steganography method, such as figure 1 As shown, it specifically includes the following steps:

[0061] Step 1: Make a data set, including a training image set and a test image set, specifically:

[0062] 8000 images are randomly selected from the ImageNet dataset, and these images are resized to 300×300 pixels to ensure that the input cover image and secret image are of the same size. These selected images are then divided into two disjoint parts: training (6000 images) and testing (2000 images). Randomly select 3000 images in the training set to make grayscale images as secret images, and the rest of the images as carrier images.

[0063] Step 2: Construct a large-capacity image steganography network based on an adversarial network. The steganographic network includes an encoding network...

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Abstract

The invention discloses a safe and robust high-capacity image steganography method, which comprises the following steps: (1) making a data set which comprises a training image and a test image; (2) constructing a large-capacity image steganography network based on an adversarial network, wherein the steganography network comprises an encoding network, a decoding network and a steganography analysis network; (3) initializing parameters in the steganography network; and (4) training the constructed steganography network, and adjusting and optimizing the overall parameters of the network, so thatthe loss function of the model is as small as possible. According to the method, the problem of steganography image distortion in a large-capacity image steganography method is solved, and the steganalysis resistance is improved.

Description

technical field [0001] The invention belongs to the technical field of deep learning, and in particular relates to a safe and robust large-capacity image steganography method. Background technique [0002] With the rapid development of information processing technology, computer technology and network communication technology, multimedia information such as images, audio and video can be quickly transmitted in various communication networks, and information security issues have gradually attracted people's attention. In order to ensure the security of information transmitted on the network and prevent information leakage, people combine classical information security encryption technology with modern multimedia digital signal processing technology to form modern information hiding technology on this basis. Information hiding technology can be divided into two important branches: digital watermarking technology and steganography. Digital watermarking is to hide secret inform...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06K9/62
CPCG06T1/0021G06T2201/005G06F18/241G06F18/214
Inventor 陈北京王家鑫郑钰辉
Owner NANJING UNIV OF INFORMATION SCI & TECH
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