Imperceptible watermark attack method based on residual learning, storage medium and electronic device

Abstract

The invention provides an imperceptible watermark attack method based on residual learning, a storage medium and an electronic device. The method comprises the steps: constructing a watermark attack model based on a convolutional neural network, carrying out the end-to-end nonlinear learning between a watermark-containing image and a watermark-free image, mapping the watermark-containing image to the watermark-free image, and carrying out watermark attack; selecting a proper number of feature extraction blocks according to the embedded area of the watermark information to extract a feature map containing the watermark information; introducing a residual learning mechanism to improve the convergence speed and learning ability of a watermark attack model, and improving the imperceptibility of an attacked image by reducing the difference between a residual image and the watermarking-free image; and constructing a data set for training a watermark attack model according to a DIV2K2017 super-resolution data set and a robust color image watermark algorithm based on a quaternion exponential moment. The watermark attack model provided by the invention can attack a robust watermark algorithm at a high bit error rate on the premise of not destroying the visual quality of a watermark-containing image.

Description

technical field [0001] The present invention relates to the technical field of digital watermarking, in particular to an imperceptible watermarking attack method based on residual learning, a storage medium and an electronic device. Background technique [0002] With the continuous development of Internet technology, information acquisition has become more and more convenient, followed by the unrestricted storage and transmission of massive information on the network. How to effectively protect information security is a key issue that needs to be solved urgently, and it has always been one of the most important topics in scientific research. Digital watermark technology is the key technology of digital image copyright protection. By embedding some identification information (that is, digital watermark) into the image to be protected, the purpose of confirming the copyright of the image is achieved. At present, the research on digital watermarking technology mainly focuses o...

AI Technical Summary

Problems solved by technology

In 2020, Nam et al. proposed a watermarking attack network. They realized that the existing attack schemes still cannot be used as a benchmark for testing the robustness of watermarking schemes, and there are many problems

[0006] Although the current few research results show that deep learning technology can be used as a new watermark attack method to interfere with watermark extraction and at the same time ensure the image quality of the watermark, the attack system is still not mature enough, and most of the current watermark attack schemes are based on improving the watermark. The quality of the image (PSNR, SSIM, etc.) is the goal, ignoring the problem of watermark extraction (BER, Bit Error Rate)

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