Zero-watermark copyright protection algorithm based on image style migration

Abstract

The invention discloses a zero-watermark copyright protection algorithm based on image style migration. A to-be-detected image X and a protected content image WC are distinguished through a binary classification CNN model, a zero-watermark detection process is completed, timestamp information is checked, author information is contrasted, and whether infringement exists or not is judged. According to the method, a relation is established between the deep neural network and the watermark technology, the advantage that the neural network can complete feature extraction is effectively utilized, and the efficiency of obtaining feature information required by zero watermark construction is improved. And a mathematical relationship is established between the timestamp information and the number of iterations, so that credentials which can be used during detection are more sufficient and reasonable. And an image data set after attack simulation is generated for subsequent detection, so that the anti-attack performance of the method is greatly improved. Different from other methods for extracting watermark information in a zero watermark algorithm detection process, the method provided by the invention has the advantage that the deep neural network can complete classification and identification, so that the detection task can be rapidly and conveniently completed.

Description

technical field [0001] The invention belongs to the technical field of copyright, and relates to a zero-watermark copyright protection algorithm based on image style migration. Background technique [0002] With the development of the Internet, digital multimedia products are becoming more and more popular, but because digital products are easy to copy and modify, the problem of piracy is very serious. In order to protect the rights of authors, owners and legal users, effective digital copyright protection The application of digital watermarking was born, but the core problem of digital watermarking is the balance between robustness and invisibility. In order to balance this contradictory relationship, people have proposed zero watermark technology, which realizes the protection of the copyright of the carrier image without changing the carrier image. Different from most zero-watermark copyright protection algorithms, this paper uses the advantages of neural network to comp...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a zero-watermark copyright protection algorithm based on image style migration, which solves the problem of poor anti-attack performance in the current technology when the watermark is invisible

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