基于Dijkstra算法的医学图像鲁棒无感知水印

M. AlShaikh, L. Laouamer, A. Laouid, A. Bounceur, M. Hammoudeh
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引用次数: 5

摘要

水印是一种证明材料安全性的技术。在任何一种水印方法中,最主要的一个方面就是水印数据的不可见性和保真度。水印嵌入位置的选择直接影响到水印的隐蔽性和保真度。最佳嵌入区域的选择一直是一个令人担忧的问题。鲁棒水印方法有助于知识产权的证明。此外,医学图像对任何微小的修改都非常敏感。然而,与频域相比,空间域提供的复杂性较低,但不幸的是,鲁棒性较差。本文提出了一种空间域的水印方法。我们的方法研究了Dijkstra算法,以找到嵌入数据的最优路径,其中均值方面在算法中起着至关重要的作用。相对于现有的在空间域中操作的相关方法,我们的方法具有较低的复杂性和较高的鲁棒性。此外,该方法还提供了水印完整性和检测嵌入水印是否被篡改的能力,以及恢复被攻击水印的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust and Imperceptible Medical Image Watermarking Based on Dijkstra Algorithm
Watermarking is the technique to prove the security aspects of the material. One of the main aspects in any watermarking method is the imperceptibly and the fidelity of the watermarked data. The place chosen for watermark embedding affects directly in the imperceptibility and fidelity characteristics. Choosing optimal area of embedding is still worrying issue. Robust watermarking approach is helpful for proving the intellectual ownership property rights. Moreover, medical image is very sensitive for any slight modification. However, spatial domain provides less complexity, but unfortunately less robustness comparing to frequency domain. We present through this paper, a watermarking approach in the spatial domain. Our approach investigated Dijkstra algorithm in order to find the optimal path of embedding data, where the Mean aspects can play a vital role in the algorithm. Our approach provides less complexity with high robustness regarding to the relevant existing approaches operating in spatial domain. Moreover, the approach provides watermark integrity aspects and ability to detect any tamper happening for the embedded watermark and moreover the ability to recover the attacked watermark.
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