Medical image robust watermarking method based on residual network and depth separable convolution

Abstract

The invention discloses a medical image robust watermarking method based on a residual network and depth separable convolution; a residual network structure and a depth separable convolution module are combined to design an RDSCnet network, wherein the RDSCnet network is trained by constructing a medical image data set, so that the RDSCnet network has better geometric attack resistance and higher operation speed. The trained RDSCnet network is utilized to extract the feature vector of the medical image, the feature vector and the watermark after chaotic scrambling encryption are subjected to XOR operation encryption processing, and the watermark is embedded into the medical image; in this way, the embedding of the watermark does not change the content of original encrypted volume data, and the embedding is a zero-watermark embedding technology and has invisibility. Due to the combination of the RDSCnet network and the zero-watermark technology, the method has strong robustness and invisibility, can protect the privacy information of the patient and the data security of the medical image at the same time, and solves the technical problems that the existing medical image digital watermarking technology is still not mature enough, the geometric attack resistance is poor, and the robustness needs to be improved.

Description

technical field [0001] The present invention relates to the technical field of image watermarking, in particular to a medical image robust watermarking method based on residual network and depthwise separable convolution. Background technique [0002] The development of medicine is gradually changing from traditional medicine to telemedicine, which makes a large number of medical images transmitted and shared in the network, which involves the security of medical images. In order to ensure that medical images are not tampered with and stolen in the process of transmission and sharing, it is necessary to perform technical processing on the original medical images to ensure the security of the original medical images. [0003] Digital watermarking technology was originally used for copyright protection of digital media. Now, using the invisibility and robustness of zero watermarking, it can hide the patient's personal information in medical images, which can protect the patien...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a robust watermarking method for medical images based on residual network and depthwise separable convolution, which is used to solve the problem that the curre

Images