With the continuous development of modern medical imaging technology, medical institutions produce a large number of different types of medical images every day, such as CT, MRI, color Doppler ultrasound, OCT, and X-ray. When the data containing our personal private information are uploaded to the cloud storage server, we lose direct control over the data, which makes us worry about the security of our private information. In the past two decades, the advent of the era of big data has allowed the explosive development of computer science technology and multimedia communication technology, which has accelerated the digital development process of the healthcare system. It is a stable and reliable image edge detection algorithm. The algorithm has good robustness to conventional and geometric attacks, strong antinoise ability, high positioning accuracy, and processing efficiency and is superior to the classical edge detection algorithm in extraction effect.
Finally, it combines perceptual Hash and zero watermark technology to generate the key to complete the watermark embedding and extraction.
The algorithm first uses a chaotic logic sequence to preprocess and encrypt the watermark, then performs edge detection and Zernike moment processing on the original medical image to get the accurate edge points, and then performs discrete cosine transform (DCT) on them to get the feature vector. Aiming at the security of medical images, a robust zero watermarking algorithm for medical images based on Zernike-DCT is proposed. Digital medical system not only facilitates the storage and transmission of medical information but also brings information security problems.
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