首页> 外文期刊>Turkish Journal of Electrical Engineering and Computer Sciences >A new efficient block matching data hiding method based on scanning order selection in medical images
【24h】

A new efficient block matching data hiding method based on scanning order selection in medical images

机译:基于医学图像扫描顺序选择的高效块匹配数据隐藏新方法

获取原文
           

摘要

A new efficient block matching data hiding method based on scanning order selection in medical images Authors: TURGAY AYDO?AN, CüNEYT BAYILMI? Abstract: Digital technology and the widespread use of the Internet has increased the speeds at which digital data can be obtained and shared in daily life. In parallel to this, there are important concerns regarding the confidentiality of private data during data transmissions and the possibility that data might fall into the hands of third parties. Issues relating to data safety can also affect patients' medical images and other information relating to these images. In this study, we propose a new method based on block matching that can be used to hide the patient information in medical images. In this method, 8 scanning orders (6 of which are newly designed) are developed to provide high image quality. By diversifying the number of scanning orders, we aim to achieve the lowest number of bit changes. The performance of the developed method is measured using the number of bits subject to change, the peak signal-to-noise ratio and the mean structural similarity index measure image quality assessment metrics, and steganalysis attacks. The method we developed was found to be more effective in hiding data compared to the classical least significant bit method.
机译:一种基于医学图像扫描顺序选择的高效块匹配数据隐藏新方法作者:TURGAY AYDO?AN,CüNEYTBAYILMI?摘要:数字技术和互联网的广泛使用提高了在日常生活中获取和共享数字数据的速度。与此并行的是,对于数据传输过程中私人数据的机密性以及数据可能落入第三方的可能性,存在着重要的担忧。与数据安全有关的问题也会影响患者的医学图像以及与这些图像有关的其他信息。在这项研究中,我们提出了一种基于块匹配的新方法,该方法可用于隐藏医学图像中的患者信息。在这种方法中,开发了8个扫描顺序(其中6个是新设计的)以提供高图像质量。通过多样化扫描顺序的数量,我们旨在实现最少的位数变化。使用变化的位数,峰值信噪比和平均结构相似性指标衡量图像质量评估指标以及隐写分析攻击,来衡量所开发方法的性能。与经典的最低有效位方法相比,我们开发的方法在隐藏数据方面更有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号