Comparison of multiple watermarking techniques using genetic algorithms

Autor: Govindarajan Yamuna, N. Mohananthini
Jazyk: angličtina
Předmět:
Discrete wavelet transform
Theoretical computer science
Data_MISCELLANEOUS
ComputingMilieux_LEGALASPECTSOFCOMPUTING
02 engineering and technology
Successive watermarking
Segmented watermarking
Robustness (computer science)
Genetic algorithm
Singular value decomposition
Diagonal matrix
Computer Science::Multimedia
0202 electrical engineering
electronic engineering
information engineering
Digital watermarking
Multiple watermarking
Mathematics
Computer Science::Cryptography and Security
lcsh:T58.5-58.64
lcsh:Information technology
business.industry
020206 networking & telecommunications
020207 software engineering
Pattern recognition
Watermark
Genetic algorithms
Peak signal-to-noise ratio
lcsh:Electrical engineering. Electronics. Nuclear engineering
Artificial intelligence
Composite watermarking
business
lcsh:TK1-9971
Zdroj: Journal of Electrical Systems and Information Technology, Vol 3, Iss 1, Pp 68-80 (2016)
ISSN: 2314-7172
DOI: 10.1016/j.jesit.2015.11.009
Popis: Multiple watermarking is used to share the copyright of multiple users, increase robustness and high security. The proposed method is comparison of multiple-watermarking techniques based on Discrete Wavelet Transform and Singular Value Decomposition using Genetic algorithm. This research elaborates the three main categories of multiple watermarking techniques such as successive, segmented and composite watermarking. The experimental results show that the DWT-based watermarking algorithms possess multi-resolution description characteristics achieving imperceptibility. The SVD-based watermarking algorithms add the watermark information to the singular values of the diagonal matrix achieving robustness requirements. The optimization is to maximize the performance of peak signal to noise ratio and normalized correlation in multiple watermarking techniques using genetic algorithms.
Databáze: OpenAIRE
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