Multi-dimensional particle swarm optimization for robust blind image watermarking using intertwining logistic map and hybrid domain-Reference-Cited by-同舟云学术

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Multi-dimensional particle swarm optimization for robust blind image watermarking using intertwining logistic map and hybrid domain

Published:2019-11-29 Issue:14 Volume:24 Page:10561-10584
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kang Xiaobing,Chen Yajun,Zhao Fan,Lin Guangfeng

Funder

the Scientific Research Program Funded by Shaanxi Provincial Education Department

the National Natural Science Foundation of China

the Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04563-6.pdf

Reference48 articles.

1. Ali M, Ahn CW (2014) An optimized watermarking technique based on self-adaptive DE in DWT-SVD transform domain. Signal Process 94:545–556. https://doi.org/10.1016/j.sigpro.2013.07.024

2. Ali M, Chang WA (2014) An optimized watermarking technique based on self-adaptive DE in DWT–SVD transform domain. Signal Process 94:545–556. https://doi.org/10.1016/j.sigpro.2013.07.024

3. Ali M, Ahn CW, Pant M, Siarry P (2015) An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony. Inf Sci 301:44–60. https://doi.org/10.1016/j.ins.2014.12.042

4. Behnam K, Mohsen EM (2017a) A predictive model-based image watermarking scheme using Regression Tree and Firefly algorithm. Soft Comput 22(12):4083–4098. https://doi.org/10.1007/s00500-017-2617-4

5. Behnam K, Mohsen EM (2017b) A robust digital image watermarking technique using lifting wavelet transform and firefly algorithm. Multimed Tools Appl 76(20):20499–20524. https://doi.org/10.1007/s11042-016-3962-5

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