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An enhanced reversible patient data hiding algorithm for E-healthcare

机译:E-HealthCare的增强可逆患者数据隐藏算法

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摘要

The feasibility of future developments in computing technologies strongly relies on the existence of key technologies and their deployments. One of the areas where they are being deployed is telemedicine, it requires communication of patient report to a specialized doctor in a real time scenario. Therefore, any harm to patient medical data can lead to a faulty diagnosis that can be lethal for the patient. To ensure safe and secure communication in E-healthcare framework, a high capacity reversible data hiding algorithm in the encrypted domain has been proposed in this paper. The proposed algorithm gives a higher embedding rate by embedding n binary bits of patient data in base(k) numeral framework at every pixel of the cover image without any occurrence of underflow and overflow problem. In addition to electronic patient information (EPI), a fragile watermark has been embedded for observing any tamper to the patient data during transmission phase. The experimental study reveals that for all types of test images, proposed method has an embedding rate nearly twice larger than the compared methods, precisely recover EPI with a PSNR value of infinity dB between the cover image and reconstructed image successfully.
机译:计算技术未来发展的可行性强烈依赖于存在关键技术及其部署。他们正在部署的领域之一是远程医疗,它需要在实时场景中向专门医生进行患者报告的通信。因此,对患者医疗数据的任何伤害都可能导致患者可能致命的诊断。为确保在电子医疗保健框架中安全和安全的通信,本文提出了加密域中的高容量可逆数据隐藏算法。该算法通过在封面图像的每个像素的基础(k)数字框架中嵌入N二进制患者数据的N二进制比特而没有任何发生的下溢和溢出问题,给出了更高的嵌入率。除了电子患者信息(EPI)之外,嵌入了一种脆弱的水印,用于在传输阶段期间观察到患者数据的任何篡改。实验研究表明,对于所有类型的测试图像,所提出的方法具有比比较方法大的嵌入率几乎两倍,精确地恢复EPI,在覆盖图像之间具有Infinity DB的PSNR值并成功地重建图像。

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