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  • 标题:A Novel Pragmatic RRW Framework to Resist on Unintentional Attacks
  • 本地全文:下载
  • 作者:K.Sudhakar ; P.Anitha
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2015
  • 卷号:15
  • 期号:8
  • 页码:77-79
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Robust reversible watermarking (RVW) is used to protect the copyright and providing robustness against unintentional attacks. In the past histogram rotation-based method suffers from extremely poor invisibility for watermarked images and limited robustness in extracting watermarks from the watermarked images destroyed by different unintentional attacks. In this paper proposed wavelet-domain statistical quantity histogram shifting and clustering (WSQH-SC) method and enhanced pixel-wise masking (EPWM). This method embedded a new watermark image and extraction procedures by histogram shifting and clustering, which are important for improving robustness and reducing run-time complexity. It is possible reversibility and invisibility. The experimental result shows that the comprehensive performance in terms of reversibility, robustness, invisibility, capacity and run-time complexity and widely applicable to different kinds of images.
  • 关键词:Integer wavelet transform; k-means clustering; masking; robust reversible watermarking (RRW).
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