矢量数据的版权保护方法

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Y. Vybornova, V. Sergeev
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引用次数: 1

摘要

提出了一种基于栅格数字水印嵌入的矢量地图版权保护方法。该方法结合了原有的思想,即不扭曲矢量对象坐标信息的矢量数据水印方法和嵌入编码二值序列的类噪声图像。使用类噪声载波可以简化验证程序,并且还可以确保隐藏位序列对失真的抵抗,包括插值误差。与作者在解决矢量数据保护问题时所做的研究相比,通过开发一种新的算法来检测隐藏在类噪声图像频谱中的二值序列,显著提高了嵌入类噪声数字水印的鲁棒性。实验研究的目的是评估在不同参数和嵌入条件下正确提取序列的概率。信息容量的研究表明,在不扭曲水印序列的情况下,每个多边形中嵌入的潜在信息量取决于地图的类型,即构成每个多边形的顶点数量。对针对恶意删除矢量图中的数字水印的潜在可能变换进行了鲁棒性实验研究。该方法对顶点/对象的仿射变换、裁剪、添加、移除和重新排序具有抵抗性,因此似乎是矢量数据版权保护问题的最佳解决方案。根据精度、耐久性、信息量和计算复杂度等标准对方法质量进行了分析。所有进行的研究结果证实了所提出的矢量图保护方法的效率和有效性,以及其相对于现有技术的明显优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for Protection of Copyright on Vector Data
The paper proposes a method of copyright protection for vector maps, based on the embedding of raster digital watermarks. The method combines original ideas, namely, a vector data watermarking approach that does not distort the coordinate information of vector objects and embedding of noise-like images that encode a binary sequence. The use of noise-like carrier allows to simplify the verification procedure, and also to ensure the resistance of the hidden bit sequence to distortions, including interpolation errors. In comparison with previous investigations made by the authors when solving problems of vector data protection, the robustness of the embedded noise-like digital watermarks has been significantly increased by developing a new algorithm for detection of the binary sequence hidden in the spectrum of a noise-like image. The purpose of the experimental studies was to assess the attainable probability of correct sequence extraction for various parameters and embedding conditions. The study of information capacity showed that the potential amount of information embedded in each polygon without distorting the watermark sequence depends on the type of a map, namely on the number of vertices that make up each polygon. An experimental study on robustness against potentially possible transformations aimed at maliciously deleting the digital watermark from the vector map is performed. The developed method demonstrates resistance to affine transformations, cropping, addition, removal and reordering of vertices / objects, and, thus, seems to be the optimal solution to the problem of copyright protection for vector data. The analysis of the method quality according to the criteria of accuracy, durability, information capacity, and computational complexity is performed. The results of all conducted studies confirm the efficiency and the effectiveness of the proposed method for vector map protection, as well as its distinct advantage over the prior art.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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