基于整数小波变换的医学图像自适应数据隐藏方案

N. Memon, S. Gilani
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引用次数: 17

摘要

数字医学图像很容易被修改用于非法目的。例如,胸部CT扫描图像中肺实质上的恶性结节是重要的诊断线索,出于保险目的,可以有意地将其抹去,也可以有意地将其添加到胸部CT扫描图像中。本文提出了一种用于医学图像认证的多重水印方法。选择CT扫描图像进行算法测试。为了实现高隐蔽性,实现了基于小波域自适应数据隐藏方法的数据嵌入技术。实验结果表明,该方法在PSNR和MSE方面都优于现有方法。
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Adaptive data hiding scheme for medical images using integer wavelet transform
Digital medical images are very easy to be modified for illegal purposes. For example malignant nodules on lung parenchyma in chest CT scan images is an important diagnostic clue, and it can be wiped of intentionally for insurance purposes or added intentionally into chest CT Scan images. In this paper we propose multiple watermarking method for authentication of medical images. CT scan images have been chosen for testing the algorithm. In order to achieve high imperceptibility, data embedding technique based on adaptive data hiding method in wavelet domain has been implemented. Experimental results show that the proposed scheme outperforms the prior works in terms of PSNR and MSE.
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