Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation

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• 关键词：Blind watermarking ; Robustness ; Perceptual distortion ; Weighted ; Mean ; Squared Error (wMSE) ; Adaptive Lattice Quantization Index Modulation (adaptive LQIM)
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9569
• 期：1
• 页码：239-249
• 全文大小：551 KB
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• 作者单位：Bingwen Feng (17)
  Wei Lu (17)
  Wei Sun (17)
  Zhuoqian Liang (18)
  Juan Liu (19)
  
  17. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510006, China
  18. Department of Computer Science, Jinan University, Guangzhou, 510632, China
  19. Department of Mathematics, Jinan University, Guangzhou, 510632, China
  
• 丛书名：Digital-Forensics and Watermarking
• ISBN：978-3-319-31960-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Lattice Quantization Index Modulation (LQIM) is an important tool in blind watermarking. Traditional compensative LQIM can only handle the global tradeoff between fidelity and robustness. To adapt the embedding strength to the local perceptual characteristics of the host signal, this paper proposes an adaptive LQIM scheme. The adaptive encoder minimizes the embedding distortion in the term of weighted-mean-squared error (wMSE) while maintaining the robustness at an acceptable level. The weight value associated with each signal element can be set according to certain perceptual measurement and is not required at the decoder. Experimental results demonstrate the superiority of the proposed scheme. Compared with the compensative LQIM, the proposed adaptive LQIM provides better fidelity without the loss of robustness.