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Artificial Intelligence Review
Published in: Artificial Intelligence Review 2/2021

30-07-2020

A new chaotic complex map for robust video watermarking

Authors: Peyman Ayubi, Milad Jafari Barani, Milad Yousefi Valandar, Behzad Yosefnezhad Irani, Reza Sedagheh Maskan Sadigh

Published in: Artificial Intelligence Review | Issue 2/2021

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Abstract

In this paper, using a new two-dimensional complex map, a secure video watermarking system is presented. Standard analyzes have been performed to analyze a dynamical system to prove the existence of chaos in the proposed map and the results indicate a chaotic behavior in this complex chaotic map. In addition, an efficient algorithm based on IWT, DWT, and CT transforms with the participation of single value decomposition for the embedding and extraction process is introduced. The simulation results showed that the proposed algorithm has good visual quality based on criteria such as PSNR and SSIM. Geometric and non-geometric attacks were also performed on the video obtained by watermarking, and the results showed that the proposed algorithm in many attacks with a value of 1.00 for the NC criterion can be a very robust algorithm against attacks. A correlation-based process for detecting the rotational attack is also presented which makes the rotational geometric attack successfully pass. The comparison of simulation results with other similar algorithms shows that the proposed method performs better than any of these methods in terms of visual quality analysis and attack resistance and can be used as an efficient robust algorithm in applied processes.
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Metadata
Title
A new chaotic complex map for robust video watermarking
Authors
Peyman Ayubi
Milad Jafari Barani
Milad Yousefi Valandar
Behzad Yosefnezhad Irani
Reza Sedagheh Maskan Sadigh
Publication date
30-07-2020
Publisher
Springer Netherlands
Published in
Artificial Intelligence Review / Issue 2/2021
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-020-09877-8

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