An optimal image watermarking approach based on a multi-objective genetic algorithm

dc.contributor.authorWang, J.
dc.contributor.authorPeng, H.
dc.contributor.authorShi, P.
dc.date.issued2011
dc.description.abstractIn accordance with the multi-objective nature of image watermarking, an optimal image watermarking approach using a multi-objective genetic algorithm is presented in this paper. Both watermarking parameters and embedding positions are often important factors affecting the performance of watermarking systems. The proposed multi-objective watermarking method can automatically optimize system parameters, and a variable-length mechanism is specially designed to search the most suitable positions for embedding watermarks. The method can also remove the difficult issue of determining optimal watermarking parameters from previous watermarking algorithms. The proposed multi-objective watermarking method directly deals with the problem of optimizing watermarking under non-dominated meaning, thus it can effectively avoid the difficulty of determining the optimally weighted factor in existing single-objective watermarking schemes. In addition, a Pareto-optimal set generated by multi-objective optimization can provide flexibility in selecting the most suitable watermarking parameters according to practical requirements. © 2011 Elsevier Inc. All rights reserved.
dc.description.statementofresponsibilityJun Wang, Hong Peng, Peng Shi
dc.identifier.citationInformation Sciences, 2011; 181(24):5501-5514
dc.identifier.doi10.1016/j.ins.2011.07.040
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/83337
dc.language.isoen
dc.publisherElsevier Science Inc
dc.rights© 2011 Elsevier Inc. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.ins.2011.07.040
dc.subjectMulti-objective genetic algorithm
dc.subjectVariable-length mechanism
dc.subjectImage watermarking
dc.subjectImperceptibility
dc.subjectRobustness
dc.titleAn optimal image watermarking approach based on a multi-objective genetic algorithm
dc.typeJournal article
pubs.publication-statusPublished

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