Robust image watermark embedding and extracting method and system based on deep learning

An image watermarking and extraction method technology, applied in the fields of information security technology and deep learning, can solve problems such as low embedding capacity, achieve the effects of good robustness, elimination of block effects, and strong generalization ability

Pending Publication Date: 2021-08-06
STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +2
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  • Claims
  • Application Information

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  • Robust image watermark embedding and extracting method and system based on deep learning
  • Robust image watermark embedding and extracting method and system based on deep learning
  • Robust image watermark embedding and extracting method and system based on deep learning

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[0071] The present application will be further described below with reference to the accompanying drawings. The following examples are for more clearly illustrative of the technical solutions of the present invention without limiting the scope of the present application.

[0072] The techniques used in the present invention are as follows:

[0073] A robust image watermarking method based on the depth of learning, such as training flow chart figure 2 As shown, specifically includes the following steps:

[0074] Step 1: collecting image data, and divided into training and testing sets;

[0075] The number and the ratio of the number of data test set skilled in the art at the time of dividing the training set and test set, the training set of data is at least 7: 3.

[0076] In the present embodiment, the image data set from the training ImageNet concentrated 50,000 images were collected from the model training set, concentrated randomly collected from the test image 3000 ImageNet im...

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Abstract

The invention discloses a robust image watermark embedding and extracting method and system based on deep learning. The method comprises: 1, collecting image data and dividing the image data into a training set and a test set; 2, obtaining a carrier image vector; 3, obtaining a watermark image by using the watermark embedding network, and calculating the distortion loss of the watermark image; 4, converting the watermark image into a lossy watermark image; 5, inputting the lossy watermark image into the watermark extraction network, extracting watermark information and calculating information extraction loss; 6, inputting the carrier image vector and the watermark image into a discriminator, and calculating the difference between the carrier image vector and the watermark image; 7, repeating the steps 2-5 by using the test set to calculate the robustness and imperceptibility of the watermark of the test set; 8, adjusting corresponding parameters according to the overall loss, repeating the steps 3-8 until the imperceptibility of the robustness watermark image of the test set watermark reaches a threshold value, and completing the training; and 9, carrying out watermark embedding and extraction by using the trained network. The invention further discloses a system using the method.

Description

technical field [0001] The invention belongs to the field of information security technology and deep learning, and relates to a neural network-based digital image watermarking technology, in particular to a deep learning-based robust image watermark embedding and extraction method and system. Background technique [0002] With the rapid development of the Internet and multimedia technology and the maturity of social networks, the sharing and dissemination of digital data has become extremely easy, bringing great convenience to people's work, life and entertainment, but illegal copying, forgery, malicious tampering, Illegal dissemination and other acts have seriously violated the legitimate rights and interests of digital product owners, so the copyright protection of digital products is a problem that needs to be solved urgently. Digital watermarking technology is a technology that embeds specific watermark information into digital images, audio, video, text and other carri...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06N3/04
CPCG06T1/005G06T2201/0051G06T2201/0065G06N3/045Y02T10/40
Inventor 吴宁汤朋张弘邹云峰赵险峰单超
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
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