Loading...
Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications
Li, Mianjie ; Lai, Senfeng ; Wang, Jiao ; Tian, Zhihong ; Guizani, Nadra ; Du, Xiaojiang ; Shan, Chun
Li, Mianjie
Lai, Senfeng
Wang, Jiao
Tian, Zhihong
Guizani, Nadra
Du, Xiaojiang
Shan, Chun
Citations
Altmetric:
Genre
Journal article
Date
2022-05-18
Advisor
Committee member
Group
Department
Computer and Information Sciences
Permanent link to this record
Collections
Files
Research Projects
Organizational Units
Journal Issue
DOI
https://doi.org/10.1016/j.dcan.2022.05.009
Abstract
Beyond-5G (B5G) aims to meet the growing demands of mobile traffic and expand the communication space. Considering that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data, this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of B5G. The multi-watermarking process employs spread transform dither modulation. During the watermarking procedure, Gram–Schmidt orthogonalization is used to obtain the multiple spreading vectors. Consequently, multiple watermarks can be simultaneously embedded into the same position of a multimedia signal. Moreover, the multiple watermarks can be extracted without affecting one another during the extraction process. We analyze the effect of the size of the spreading vector on the unit maximum capacity, and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity. A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.
Description
Citation
Mianjie Li, Senfeng Lai, Jiao Wang, Zhihong Tian, Nadra Guizani, Xiaojiang Du, Chun Shan,
Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications,
Digital Communications and Networks,
Volume 10, Issue 1,
2024,
Pages 38-44,
ISSN 2352-8648,
https://doi.org/10.1016/j.dcan.2022.05.009.
(https://www.sciencedirect.com/science/article/pii/S2352864822001006)
Citation to related work
Elsevier
Has part
Digital Communications and Networks, Vol. 10, Iss. 1
ADA compliance
Embedded videos
License
Attribution-NonCommercial-NoDerivs CC BY-NC-ND
