Skip to main content
Article
A Novel Digital Watermarking Based on General Non-Negative Matrix Factorization
Computer Science and Engineering
  • Zigang Chen
  • Lixiang Li
  • Haipeng Peng
  • Yuhong Liu, Santa Clara University
  • Yixian Yang
Document Type
Article
Publication Date
8-1-2018
Publisher
IEEE
Disciplines
Abstract

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 ∈ R + s×t into a basis matrix A ∈ R + m×n and a coefficient matrix B ∈ R + p×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.

Citation Information
Chen, Z., Li, L., Peng, H., Liu, Y., & Yang, Y. (2018). A Novel Digital Watermarking Based on General Non-Negative Matrix Factorization. IEEE Transactions on Multimedia, 20(8), 1973–1986. https://doi.org/10.1109/TMM.2018.2794985