Abstract The health care industry involves the processing of large-scale images for various applications. Remote diagnosis is one such significant area where medical images are sent across vulnerable communication media. Hence, a secure and robust framework is necessary to hide and retrieve patient information in medical images. Here, we propose a high capacity reversible data hiding technique that can be used to embed patient data using a new weighted interpolation technique. In this approach, to improve the payload capacity, interpolated pixels are effectively utilized for the data embedding process using modular arithmetic. The original cover pixels are also employed to embed data using the difference expansion method. The framework developed is tested with standard benchmark images and medical images. The experimental results prove that the proposed method proffers a better output in comparison with the other contemporary methods in this domain.

中文翻译：

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用于医疗保健远程诊断的安全框架：一种用于医学图像的高容量可逆数据隐藏技术

摘要 医疗保健行业涉及为各种应用处理大规模图像。远程诊断是通过易受攻击的通信媒体发送医学图像的重要领域之一。因此，需要一个安全可靠的框架来隐藏和检索医学图像中的患者信息。在这里，我们提出了一种高容量可逆数据隐藏技术，可用于使用新的加权插值技术嵌入患者数据。在这种方法中，为了提高有效载荷容量，使用模块化算法将内插像素有效地用于数据嵌入过程。原始覆盖像素也用于使用差异扩展方法嵌入数据。开发的框架使用标准基准图像和医学图像进行测试。