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Image digital watermark generation and identification system and method based on GAN network

A technology of digital watermarking and network generation, applied in image data processing, image data processing, biological neural network model, etc., can solve the problem that the anti-attack ability needs to be improved, and achieve increased diversity, improved generation quality, and high anti-attack ability. Effect

Active Publication Date: 2019-09-24
SHANDONG INSPUR SCI RES INST CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the evaluation method, identification method and anti-attack ability of digital watermark need to be improved. In this case, how to effectively use GAN network technology to efficiently and quickly generate imperceptible image digital watermarks and effectively identify watermarks has become an urgent problem. The problem

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  • Image digital watermark generation and identification system and method based on GAN network
  • Image digital watermark generation and identification system and method based on GAN network

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0033] Such as figure 1 As shown in , the GAN network is used to add digital watermarks to images. The GAN network is composed of two parts: the generator G and the discriminator D. The generator includes two parts: the identification generation network GN1 and the watermark generation network GN2. The discriminator includes image discrimination Networ...

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Abstract

The invention provides an image digital watermark generation and identification system and method based on a GAN network, and belongs to the technical field of digital watermarks, information hiding, deep learning and neural networks. The image digital watermark generation and identification system and method adopt the GAN network to efficiently and quickly generate unperceptible image digital watermarks and effectively identify watermarks, and can gradually improve the digital watermark quality by repeatedly training a digital watermark generator and a discriminator.

Description

technical field [0001] The present invention relates to digital watermarking, information hiding, deep learning and neural network technology, in particular to a system and method for generating and identifying image digital watermarking based on GAN network. Background technique [0002] Generative Adversarial Network (GAN) is a type of neural network originally proposed by Ian Goodfellow. It trains the discriminator (Discriminator) and the generator (Generator) in turn to fight against each other to sample from complex probability distributions. Widely used in various application scenarios. [0003] In recent years, with the rapid development of the Internet, the importance of digital copyright protection has attracted more and more attention. While ensuring the normal use of digital information (such as digital images, audio, video, etc.) by legally authorized users, digital information should be protected. Creator and Owner's Copyright. Digital copyright protection tec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06N3/04
CPCG06T1/0021G06N3/045Y02T10/40
Inventor 孙善宝于玲于治楼金长新徐驰
Owner SHANDONG INSPUR SCI RES INST CO LTD
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