Watermark embedding and extraction method and device based on dynamic BP nerve network

Abstract

The invention relates to a watermark embedding and extraction method and device based on a dynamic BP nerve network; the method comprises the following steps: using improved Arnold transformation to scramble an original watermark image; embedding the scrambled watermark image into a dynamic BP nerve network hidden layer, and training to obtain a carrier image with an embedded watermark; the method combines the improved Arnold transformation with the dynamic BP nerve network, thus obtaining the carrier image with the watermarks; even after various attacks, the pixel sizes in the embedded positions can be still extracted, thus correctly detecting a watermark signal; in addition, the method can balance the contradictions between the image watermark robustness and imperceptibility; in addition, in a watermark image extraction process, i.e., the reverse process of the watermark embedding process, the watermark image can be finally obtained through the combination between the dynamic BP nerve network and the improved Arnold transformation.

Description

Technical field [0001] The invention relates to a digital image watermarking technology in the field of information security, in particular to a watermark embedding and extraction method and device based on a dynamic BP neural network. Background technique [0002] In recent years, with the rapid development of digital media and Internet technology, there are a large number of digital media content resources (such as text, images, and videos) on the network or various terminal devices. Users can easily access these digital media content. For use, copying or dissemination, the copyright protection of digital media content has attracted more and more attention from the business and academic circles. In the process of solving this problem, adding watermark images to digital media content is an effective supplement to the traditional encryption methods that are often used, that is, using data embedding methods to hide in digital image products to prove that the creator The ownership...

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a watermark embedding and extraction method based on a dynamic BP neural network, which is used to solve the problems of less conventional image watermark keys and low precision, and the slow convergence speed and slow training sample speed of the traditional BP neural network learning process, thereby improving image quality. Security, robustness and imperceptibility of watermark

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