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A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
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A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
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A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection

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A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection
Journal Article

A robust digital video watermarking based on CT-SVD domain and chaotic DNA sequences for copyright protection

2023
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Overview
With the growing use of the digital world and its associated challenges, the use of digital watermarking is a popular and appropriate way of protecting digital content against illegal distribution. Recently, the rapid development of Biology Information Technology and the use of biological systems have attracted the particular attention of computer security experts. For example, the linking of watermarking with chaotic mapping and DNA sequences is a relatively new field that is the subject of research these days. The purpose of this paper is to provide a new algorithm for digital video watermarking based on a combination of chaotic systems, Cellular Automata (CA), and DNA sequences. The proposed method in this paper is a practical application for copyright protection of digital videos with watermarking. The above-mentioned watermarking scheme is blind and consists of methods for Contourlet Transform (CT) and Singular Value Decomposition (SVD) with the condition of insertion into low-frequency sub-bands. Here, one-dimensional chaotic automata based on DNA with the ability of parallel implementation of various CA rules is designed. Finally, the proposed method is evaluated using common statistical criteria such as PSNR, NCC, and BER, and the results show the high resistance of the proposed algorithm to various types of attacks.