Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
1144-1148,1153

Adaptive zero-watermarking algorithm based on block NMF and boost normed singular value decomposition

Xiao Zhenjiu
Ning Qiuying
Zhang Han
Tang Xiaoliang
Chen Hong
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.09.0751

Abstract

For the problem of the singular value decomposition(SVD) watermarking algorithm caused high false alarm rate and low robustness, this paper proposed an adaptive zero watermarking algorithm, which was based on block NMF and boost normed singular value decomposition. First, it transformed the original gray image into two levels of DWT transform, then divided after the transformation of the LL2 subbands into non-overlapping blocks, and broke down each sub-block into NMF with rank r, then used boost normed singular value decomposition for eigenmatrix derived from NMF decomposition. According to the relationship between the maximum singular value of each block matrix and the mean value of the global maximum singular value, it constructed feature-vector. Finally, the generated feature vector was xor operation with the random encrypted watermark image of Arnold and the logistic map to generate a zero watermark. The parameter β in the singular value matrix must be determined adaptively by the BAS optimization algorithm, and found out the scaling ratio of the most resistant attack. The experimental results show that, in the false alarm problem, the NC value is below 0.4. Under the condition of JPEG compression, noise, filtering, rotation, shearing and mixed attack, the normalized coefficient NC of the extracted watermark image and the original watermark image can reach more than 99%. The method can solve the false positive errors efficiently and has strong robustness. It can resist all kinds of attacks effectively.

Foundation Support

国家自然科学基金青年科学基金资助项目(61401185)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0751
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Information Security
Pages: 1144-1148,1153
Serial Number: 1001-3695(2020)04-040-1144-05

Publish History

[2020-04-05] Printed Article

Cite This Article

肖振久, 宁秋莹, 张晗, 等. NMF和增强奇异值分解的自适应零水印算法 [J]. 计算机应用研究, 2020, 37 (4): 1144-1148,1153. (Xiao Zhenjiu, Ning Qiuying, Zhang Han, et al. Adaptive zero-watermarking algorithm based on block NMF and boost normed singular value decomposition [J]. Application Research of Computers, 2020, 37 (4): 1144-1148,1153. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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