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首页> 外文期刊>International journal of electronic security and digital forensics >Generating optimal informed and adaptive watermark image based on zero-suppressed binary decision diagrams for medical images
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Generating optimal informed and adaptive watermark image based on zero-suppressed binary decision diagrams for medical images

机译：基于零抑制医学决策的二元决策图生成最优的知情和自适应水印图像

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摘要

Watermarking protects legitimate copies of digital multimedia from unauthorised use. Digital watermarks are used to verify the authenticity, integrity and confidentiality of data. Watermark generation is one of the most important aspects of watermarking schemes, and should aim to produce as small a watermark to reduce the complexity of computational processes. Although embedding a large amount of watermark data increases the chances of recovering it, this also increases the complexity, which can become impractical for real-time applications. In this paper, we focus on the robustness of medical image watermarks and present a means to generate a small watermark. This idea is very innovative in the watermarking field. The proposed approach is based on zero-suppressed binary decision diagrams (ZBDDs). Application of ZBDD to medical image watermarking will help us to take into account the complexity, the capacity and the watermark robustness factors. The results obtained are very significant and encouraging.
机译：加水印可防止未经授权使用数字多媒体的合法副本。数字水印用于验证数据的真实性，完整性和机密性。水印的产生是水印方案最重要的方面之一，并且其目的应该是产生尽可能小的水印以降低计算过程的复杂性。尽管嵌入大量水印数据增加了恢复数据的机会，但这也增加了复杂性，这对于实时应用而言可能变得不切实际。在本文中，我们将重点放在医学图像水印的鲁棒性上，并提出一种生成小水印的方法。这个想法在水印领域是非常创新的。所提出的方法基于零抑制二进制决策图（ZBDD）。 ZBDD在医学图像水印中的应用将帮助我们考虑复杂性，容量和水印鲁棒性因素。获得的结果非常重要且令人鼓舞。

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