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文章基本信息

  • 标题:Probability-based Tamper Detection Scheme for BTC-compressed Images Based on Quantization Levels Modification
  • 本地全文:下载
  • 作者:Yu-Chen Hu1 ; Chun-Chi Lo2 ; Chang-Ming Wu3
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2013
  • 卷号:7
  • 期号:3
  • 出版社:SERSC
  • 摘要:To protect the image integrity of the compressed images for block truncation coding (BTC), an image authentication scheme is proposed in this paper. In this scheme, the authentication data of each compressed image block is generated from the random value induced by the predefined random seed. The size of the authentication data can be selected according to the user’s requirement. Then, the authenticaiton data is embedded into the difference value between the quantization levels of each BTC-compressed image block. The experimental results reveal that the proposed scheme performs well in terms of detection precision and the embedded image quality
  • 关键词:image authentication; tamper detection; block truncation coding; fragile;watermarking
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