Color image steganography distortion function design method based on generative adversarial network

A color image and design method technology, applied in image data processing, image data processing, biological neural network models, etc.

Active Publication Date: 2020-09-18
HUNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In real life, color images are more widely used. However, the current schemes of generating adversarial networks to design steganographic distortion functions are all designed for grayscale images. Compared with grayscale images, color image channels are correlated.

Method used

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  • Color image steganography distortion function design method based on generative adversarial network
  • Color image steganography distortion function design method based on generative adversarial network
  • Color image steganography distortion function design method based on generative adversarial network

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Embodiment Construction

[0052] The invention is a design method of color image steganographic distortion function based on generation confrontation network. The specific embodiment of the present invention will be described below by taking embedding rate q=1.2bpp, and embedding by classical Syndrome-TrellisCode encoding as an example. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the scope of application of the present invention.

[0053] The development language is python, and the deep learning framework is tensorflow. The specific steps are as follows:

[0054] Step 1: Prepare training dataset. Get 40,000 color pictures from the image database. In order to adapt to the input size of the network, the center of the picture is cut into a picture with a size of 256*256.

[0055] Step 2: Build the network structure. The network is constructed as image 3 As shown, the color ca...

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Abstract

The invention relates to a color image steganography distortion function design method based on a generative adversarial network, which is used for color image secret communication. The method mainlycomprises the following steps: (1) proposing a generator network structure for generating a color image modification probability; and (2) proposing a color image steganography distortion function framework designed based on a generative adversarial network. Compared with the prior art, the color image steganography distortion function design method based on the generative adversarial network provided by the invention has the advantage that secret information secret transmission is carried out on a spatial domain color image with wider application. The method is feasible and effective, the steganography distortion function generated by the trained model is combined with coding technologies such as Syndrome-Trellis Code and the like, an existing color image steganography analyzer can be better resisted, and higher safety is achieved.

Description

technical field [0001] The invention relates to the technical field of multimedia security, in particular to a method for designing a color image steganographic distortion function based on a generative adversarial network. Background technique [0002] The rapid development and application of Internet technology has made it more efficient and faster for people to transmit information on the Internet. At the same time, the security of network information is increasingly tested. As small as the leakage of private information such as personal identities and passwords, as large as national political, military, and commercial secrets being monitored and stolen by hostile forces, ensuring the safe transmission of information is crucial to the healthy development of the network. Although encryption technology can guarantee the security of information, the encrypted information usually looks disorganized, which can easily attract the attention of attackers and increase the possibil...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06N3/04G06N3/08H04N1/32
CPCG06T1/0021H04N1/32272G06N3/08G06N3/047G06N3/045
Inventor 廖鑫唐志强胡娟
Owner HUNAN UNIV
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