A Novel Digital Watermarking Based on General Non-Negative Matrix Factorization

被引:42
作者
Chen, Zigang [1 ,2 ]
Li, Lixiang [1 ]
Peng, Haipeng [1 ]
Liu, Yuhong [3 ]
Yang, Yixian [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Nanyang Inst Technol, Coll Comp & Informat Engn, Nanyang 473004, Henan, Peoples R China
[3] Santa Clara Univ, Dept Comp Engn, Santa Clara, CA 95053 USA
基金
中国国家自然科学基金;
关键词
Digital watermarking; general non-negative matrix factorization (general-NMF); semi-tensor product (STP); IMAGE AUTHENTICATION; NETWORKS; TRANSFORM; DYNAMICS; SCHEME;
D O I
10.1109/TMM.2018.2794985
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a novel general non-negative matrix factorization (general-NMF)-based digital watermarking scheme for copyright protection and integrity authentication of the image content. Specifically, the proposed general-NMF algorithm is able to factorize a matrix C is an element of R-+(s x t) a into a basis matrix A is an element of R-+( m x n) and a coefficient matrix B is an element of R-+(p x q) by removing the dimension-matching constraints required by the conventional NMF, where s = m, n = p, and t = q. In particular, s = m . l/n, t = l/p . q, and the variable l is the least common multiple of n and p. Furthermore, the generator factor of the random matrix and n are used as the keys of the proposed digital watermarking scheme. Experimental results show that the proposed digital watermarking scheme can effectively resist various attacks and tampering.
引用
收藏
页码:1973 / 1986
页数:14
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