A Zero-Watermarking Algorithm Based on Scale-Invariant Feature Reconstruction Transform

被引:2
作者
Li, Fan [1 ,2 ]
Wang, Zhong-Xun [1 ,2 ]
机构
[1] Yantai Univ, Sch Phys & Elect Informat, Yantai 264005, Peoples R China
[2] Yantai Univ, Shandong Data Open Innovat Applicat Lab Smart Grid, Yantai 264005, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 11期
关键词
zero-watermarking; local feature extraction; chaotic encryption; MEDICAL IMAGES; SCHEME; DCT;
D O I
10.3390/app14114756
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors. The constructed feature matrix of this algorithm consists of two parts: the feature descriptor vector calculated from scale-invariant feature reconstruction transform (SIFRT) and the multi-radius local binary pattern (MrLBP) descriptor vector. The algorithm performs a standardization, feature decomposition, and redundancy reduction on the traditional keypoint descriptor matrix, combines it with the texture feature matrix, and achieves the dimensional matching of copyright information. The advantage of this algorithm lies in its non-modification of the original data. Compared to computing global features, the local features computed from a subset of key points reduce the amount of attack interference introduced during copyright verification, thereby reducing the number of erroneous pixel values that are introduced. The algorithm introduces a timestamp mechanism when uploading the generated zero-watermarking image to a third-party copyright center, preventing subsequent tampering. Experimental data analysis demonstrates that the algorithm exhibits good discriminability, security, and robustness.
引用
收藏
页数:14
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