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首页> 外文期刊>IEEE Transactions on Circuits and Systems for Video Technology >A Semi-Fragile Reversible Watermarking for Authenticating 2D Engineering Graphics Based on Improved Region Nesting
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A Semi-Fragile Reversible Watermarking for Authenticating 2D Engineering Graphics Based on Improved Region Nesting

机译:基于改进区域嵌套认证2D工程图形的半易碎的可逆水印

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摘要

To achieve high tampering localization precision and low distortion, a semi-fragile reversible watermarking for authenticating 2D engineering graphics is proposed based on an improved region nesting and a novel watermark generation. First, an intensive investigation is performed to the recently proposed region nesting (RN) partition. It is found that the original vertex and its mapped one cannot be guaranteed to be on the same line, which means that it still has room for improvement in term of distortion. Based on this, an improved region nesting partition (IRN) is proposed. Secondly, inspiring by the idea of soldiers parading, a novel watermark generation based on the short hash of the adjacent geometric features is developed. Then, a new coordinate system is constructed to achieve invariability of translation, scaling, rotation and entity re-arrangement. Based on the above techniques, a semi-fragile reversible watermarking for authenticating 2D engineering graphics is put forward. Experimental results and analysis show that IRN can obtain at least 15% distortion reduction compared with RN, the precision of tampering localization can be improved to a single vertex, and a certain semi-fragility in translation, scaling, rotation, and entity re-arrangement can be achieved. Furthermore, it has no file size expansion, and can obtain a good balance among imperceptibility, semi-fragility and tampering localization precision.
机译:为了实现高篡改定位精度和低失真,基于改进的区域嵌套和新的水印生成,提出了一种用于验证2D工程图形的半易转向水印。首先,对最近提出的地区嵌套(RN)分区进行了密集的调查。发现原始顶点及其映射不能保证在同一条线上,这意味着它仍然具有变形期限的改善空间。基于此,提出了一种改进的区域嵌套分区(IRN)。其次,开发了士兵游行的想法,开发了一种基于相邻几何特征短散列的新型水印生成。然后,构建一个新的坐标系,以实现翻译,缩放,旋转和实体重新排列的不变性。基于上述技术,提出了一种用于验证2D工程图形的半易碎的可逆水印。实验结果和分析表明,与RN相比,IRN可以获得至少15%的失真减少,篡改定位的精度可以改善到单个顶点,以及在翻译,缩放,旋转和实体重新安排的某个半脆弱性可以实现。此外,它没有文件大小扩展,并且可以在难以察觉,半脆弱性和篡改本地化精度之间获得良好的平衡。

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