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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Springer London

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DOI

10.1007/s00268-013-2216-1

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ISSN

1433-3058

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Coevolutionary genetic watermarking for owner iden

Authors: YuehHong Chen HsiangCheh Huang
Publish Date: 2014/05/27
Volume: 26, Issue: 2, Pages: 291-298
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Abstract

In this paper we propose a coevolutionary genetic watermarking scheme based on wavelet packet transform Wavelet packet transform can be viewed as a generalization of the discrete wavelet transform and a best wavelet basis in the sense of some cost metric can be found within a large library of permissible bases Coevolutionary genetic algorithm is employed to select an appropriate basis from permissible bases of wavelet packet transform and it determines the subbands for watermark embedding Experimental results demonstrate that proposed method can increase the capability to resist specific image processing methods while keeping quality of the watermarked image acceptable Moreover the architecture of cooperative coevalutionary genetic algorithm is particularly suitable in distributed computing environment This characteristic would make genetic watermarking schemes more applicable in realworld applications

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