一种新的基于Fresnlet的医学图像鲁棒数据隐藏算法

M. Nazeer, Dai-Gyoung Kim
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引用次数: 6

摘要

目前需要健壮的解决方案来处理广泛分布的医学信息图像的异常修改。如果对医学信息图像进行修改,可能会导致错误的诊断,从而引发严重的问题。此外,数字形式的医学图像很容易被用于非法目的。例如,通过故意擦除或添加小信息,可以对数字医学图像进行修改,用于某些非法目的;比如保险索赔等。因此,医学图像的可靠性是医院信息系统(HIS)的重要标准。本文将基于Fresnelet系数的Fresnelet变换用于医学图像的安全分布。实验结果表明,该方法对宿主图像具有较强的不可感知性,对嵌入图像具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel Fresnlet based robust data hiding algorithm for medical images
Robust solutions are recently needed to handle the unusual modification of extensively distributed medical information images. If a medical information image is modified, it may cause to have wrong diagnosis that may arouse a serious problem. Moreover, medical images of digital form are easy to alter for illegal purposes. For instance, by wiping off or adding small information intentionally, it is possible to modify the digital medical images for certain illegal purposes; like insurance claims etc. Hence, the reliability of medical image is an important criterion in a Hospital Information System (HIS). In this paper Fresnelet transform is used for secure distribution of medical images based on Fresnelet coefficient. The experimental results exhibit the high imperceptibility for host image and the significant robustness of embedded image.
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