Privacy and protection of medical images ROI using SPLSB and bit-plane based watermarking

C. Rupa, C. Devi
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引用次数: 10

Abstract

In the current digital world, health departments and telemedicine systems are one among the sensitive data management systems of the users. Currently, at the time of managing the information by the authorities, the attackers have to tamper the medical data. It should happen while transmitting, storing and computing the data. In this paper, we propose a methodology for protecting the ROI of medical images data using Squint-Penultimate-Least Significant bits and Bit-planes of the covered image based watermarking technique. In this method, initially, the sensitive data of the medical image such as ROI segment can be detected using edge contour extraction method. Extracted ROI can act as a watermark which has required protection from the attackers. Later this watermark has protected by embedding into the chosen bit-plane of the source or cover image with SPLSB method. Thus generates a watermarked image which holds the watermark. Experiments have done on various medical images and the results were analyzed by considering performance evaluation factors. Thus, the proposed scheme is the robustness and effective method to protect the ROI of a medical image.
基于SPLSB和位平面水印的医学图像ROI隐私保护
在当前的数字化世界中,卫生部门和远程医疗系统是用户的敏感数据管理系统之一。目前,在政府管理信息的同时,攻击者不得不对医疗数据进行篡改。它应该在传输、存储和计算数据时发生。本文提出了一种利用基于覆盖图像的斜视倒数最小有效位和位平面水印技术来保护医学图像数据ROI的方法。该方法首先利用边缘轮廓提取方法检测医学图像中感兴趣区域等敏感数据。提取的ROI可以作为水印,需要对攻击者进行保护。然后用SPLSB方法将该水印嵌入到选定的源图像或封面图像的位平面中进行保护。这样就产生了一个含有水印的水印图像。对各种医学图像进行了实验,并结合性能评价因素对实验结果进行了分析。因此,该方法是一种鲁棒性强、保护医学图像ROI的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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