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Reversible data hiding scheme using optimal weight predictor based on DMT in medical imaging

机译:基于DMT的最优权重预测器可逆数据隐藏方案

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The progress of internet technology, especially in medical, information can be transmission across in real-time allowing medical practice through tele-diagnosis. Meantime, ensuring the security of transmitted medical information, including between protection and reliability guaranties, becomes a challenging. This work presents an effective reversible data hiding technique for the medical imaging modalities. The optimal weight predictor is introduced which can predict to be more accurate than the conventional predictor. The proper weight value enhances the performance of the prediction. We employ prediction errors to embed data into an image. A data sorting technique is used to record the prediction errors according to magnitude of its local variance. The pixels in an image is checked using a technique which will be referred double modification testing, where each pixel is an attempt to embed a test bit. Experimental study is carried using several medical images, and the results are compared with well-known method in the literature.
机译:互联网技术的进步,特别是在医学领域,可以实时传输信息,从而可以通过远程诊断进行医学实践。同时,确保传输的医学信息的安全性(包括保护和可靠性保证之间)成为一项挑战。这项工作提出了一种有效的可逆数据隐藏技术,用于医学成像模式。引入了最佳体重预测器,该预测器可以预测比常规预测器更准确的预测。适当的权重值可增强预测的性能。我们采用预测误差将数据嵌入到图像中。数据分类技术用于根据其局部方差的大小记录预测误差。使用一种称为双重修改测试的技术来检查图像中的像素,其中每个像素都试图嵌入测试位。实验是利用数张医学图像进行的,并将结果与​​文献中的众所周知的方法进行比较。

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