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dc.contributor.authorLuo, Jianzh_CN
dc.contributor.authorPan, Yinghuizh_CN
dc.contributor.authorTan, Liangzh_CN
dc.contributor.author罗键zh_CN
dc.date.accessioned2013-12-12T02:49:51Z
dc.date.available2013-12-12T02:49:51Z
dc.date.issued2009zh_CN
dc.identifier.citation2009 Ieee International Conference on Control and 2299-2304zh_CN
dc.identifier.issn978-1-4244-4706-0zh_CN
dc.identifier.otherWOS:000280542300400zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/71052
dc.description.abstractIn order to enhance the practicality of digital watermarking, watermark perceptibility and robustness must be ensured. Taking human visual system characteristics into account fully, a digital watermarking multi-objective optimization based on multi-wavelet method is proposed. It utilizes Sa4 multi-wavelet to embed digital watermark, chooses intermediate frequency in embedding digital watermark adaptively according to the size of every energy mass, and uses multi-objective optimization method based on genetic algorithm to optimize and adjust the embedded depth to obtain optimal effect. Experiments show the new algorithm we proposed not only is robust to attacks, but also ensures the quality of watermarking-embed image.zh_CN
dc.language.isoen_USzh_CN
dc.source.urihttp://dx.doi.org/10.1109/ICCA.2009.5410475zh_CN
dc.titleDigital Watermarking Multi-objective Optimization Based on Multi-waveletzh_CN
dc.typeArticlezh_CN


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