标题:Improved logarithmic spread transform dither modulation using a robust perceptual model
作者:Wan, Wenbo; Liu, Ju; Sun, Jiande; Gao, Di
作者机构:[Wan, Wenbo; Liu, Ju; Sun, Jiande; Gao, Di] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Liu, Ju; Sun, Jiande] Hisense S 更多
通讯作者:Liu, Ju
通讯作者地址:[Liu, J]Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
来源:MULTIMEDIA TOOLS AND APPLICATIONS
出版年:2016
卷:75
期:21
页码:13481-13502
DOI:10.1007/s11042-015-2853-5
关键词:Logarithmic STDM; Perceptual JND model; Watermarking robustness; Edge; strength
摘要:In the quantization-based watermarking framework, the perceptual just noticeable distortion (JND) model has been widely used to determine the quantization step size, as it can be used for the better tradeoff between imperceptibility and robustness. However, the calculated JND values will change as watermark embedding can affect the texture and luminance of the image. Consequently, the changes of JND values will lead to watermark-extraction errors. In this paper, the authors present an improved logarithmic spread transform dither modulation (STDM) watermarking approach using a best-matched DCT-based perceptual JND model, which can be insensitive to the changes caused by watermark embedding and attacks. Experimental results confirm the improved robustness performance of the JND model in the watermarking framework. Simulation results show that the proposed scheme is more robust than the existing JND model-based watermarking algorithms with the uniform fidelity, and our proposed scheme has a superior performance compared with the former proposed perceptual STDM schemes.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939241251&doi=10.1007%2fs11042-015-2853-5&partnerID=40&md5=18f5d8e90508bd663795c6fcf54086e7
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