School of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuzhou 350300, China.
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.
J Healthc Eng. 2021 Jul 1;2021:5709513. doi: 10.1155/2021/5709513. eCollection 2021.
As digitalization becomes more common, patients' concerns about the leakage of private information, such as electronic medical record, are increasing, and those concerns motivated this case study of secure covert communication. Therefore, in this paper, a novel reversible data hiding method based on pixel rotation is proposed for medical images. Using pixel rotation, a state mapping model is constructed to represent the payload. More specifically, many intermediate states are derived from an image block, and each of them is used to form a one-to-one mapping relationship with a specific sequence of payload bits. In addition, to ensure the visual quality of stego-medical-images, the payload bits are only concealed in the regular blocks and the other blocks are unchanged. Moreover, the smoother regular image block will be priority to be used to embed the payload to enhance the visual quality of stego-medical-image. The experimental results showed that the stego-medical-images generated by the proposed reversible data hiding method have better visual quality with an average PSNR of 47.0307 dB, which is higher than that provided by some state-of-the-art methods.
随着数字化的普及，患者对电子病历等私人信息泄露的担忧日益增加，正是出于这种担忧，我们进行了这项关于安全隐蔽通信的案例研究。因此，在本文中，我们提出了一种基于像素旋转的新型可逆数据隐藏方法用于医学图像。利用像素旋转，构建了一个状态映射模型来表示有效载荷。具体来说，从图像块中导出许多中间状态，每个状态都与有效载荷位的特定序列形成一一对应的映射关系。此外，为了确保掩蔽后医学图像的视觉质量，仅在规则块中隐藏有效载荷位，而其他块保持不变。此外，优先使用平滑的规则图像块来嵌入有效载荷，以提高掩蔽后医学图像的视觉质量。实验结果表明，所提出的可逆数据隐藏方法生成的掩蔽后医学图像具有更好的视觉质量，平均 PSNR 为 47.0307dB，高于一些先进方法提供的 PSNR。
