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An adaptive data hiding scheme with high embedding capacity and visual image quality based on SMVQ. prediction through classification codebooks

机译:基于SMVQ的具有高嵌入能力和可视图像质量的自适应数据隐藏方案。通过分类密码本进行预测

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摘要

This study exploits the characteristics of image blocks to develop an adaptive data hiding scheme that is based on SMVQ prediction. Since human beings' eyes are highly sensitive to smooth images, changes in smooth cause great distortion and attract the attention of interceptors. Hence, this study proposes a data embedding scheme for embedding secret data into edge blocks and non-sufficiently smooth blocks. The experimental results show that the proposed scheme improves the quality of the stego-image and the embedding capacity.
机译:这项研究利用图像块的特征来开发基于SMVQ预测的自适应数据隐藏方案。由于人眼对光滑的图像高度敏感,因此光滑的变化会导致严重的变形并引起拦截器的注意。因此,本研究提出了一种用于将秘密数据嵌入边缘块和非足够光滑块的数据嵌入方案。实验结果表明,该方案提高了隐身图像的质量和嵌入能力。

著录项

  • 来源
    《Image and Vision Computing》 |2010年第8期|P.1293-1302|共10页
  • 作者单位

    Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC;

    Graduate Institute of Informatics, Doctoral Program, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC;

    Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Rd., Wufong Township, Taichung County 41349, Taiwan, ROC;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    data hiding; image quality of stego-image; embedding capacity; side-match vector quantization; SMVQ prediction;

    机译:数据隐藏隐身图像的图像质量;嵌入能力边匹配矢量量化;SMVQ预测;

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