Loan Nazir A, Parah Shabir A, Sheikh Javaid A, Akhoon Jahangir A, Bhat Ghulam M
Post Graduate Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, J and K 190006 India.
Post Graduate Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, J and K 190006 India.
J Biomed Inform. 2017 Sep;73:125-136. doi: 10.1016/j.jbi.2017.08.002. Epub 2017 Aug 3.
A high capacity and semi-reversible data hiding scheme based on Pixel Repetition Method (PRM) and hybrid edge detection for scalable medical images has been proposed in this paper. PRM has been used to scale up the small sized image (seed image) and hybrid edge detection ensures that no important edge information is missed. The scaled up version of seed image has been divided into 2×2 non overlapping blocks. In each block there is one seed pixel whose status decides the number of bits to be embedded in the remaining three pixels of that block. The Electronic Patient Record (EPR)/data have been embedded by using Least Significant and Intermediate Significant Bit Substitution (ISBS). The RC4 encryption has been used to add an additional security layer for embedded EPR/data. The proposed scheme has been tested for various medical and general images and compared with some state of art techniques in the field. The experimental results reveal that the proposed scheme besides being semi-reversible and computationally efficient is capable of handling high payload and as such can be used effectively for electronic healthcare applications.
本文提出了一种基于像素重复方法（PRM）和混合边缘检测的高容量半可逆数据隐藏方案，用于可缩放医学图像。PRM用于放大小尺寸图像（种子图像），混合边缘检测确保不会遗漏重要的边缘信息。种子图像的放大版本被划分为2×2不重叠的块。在每个块中有一个种子像素，其状态决定要嵌入该块其余三个像素中的位数。通过使用最低有效位和中间有效位替换（ISBS）来嵌入电子病历（EPR）/数据。RC4加密用于为嵌入的EPR/数据添加额外的安全层。该方案已针对各种医学图像和普通图像进行了测试，并与该领域的一些现有技术进行了比较。实验结果表明，该方案除了具有半可逆性和计算效率外，还能够处理高负载，因此可有效地用于电子医疗保健应用。
