Optimization-Based Embedding for Wavelet-Domain Audio Watermarking

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• 作者：Huang-Nan Huang (1)
  Shuo-Tsung Chen (1) (2)
  Muh-Shi Lin (3) (4) (5)
  Woon-Man Kung (6) (7)
  Chih-Yu Hsu (8)
  
  1. Department of Applied Mathematics ; Tunghai University ; Taichung ; 40704 ; Taiwan ; Republic of China
  2. Department of Electronic Engineering ; National Formosa University ; Taiwan ; Republic of China
  3. Department of Neurosurgery ; Taipei City Hospital ; Zhong Xiao Branch ; Taipei ; Taiwan ; Republic of China
  4. Division of Neurosurgery ; Department of Surgery ; New Taipei City Hospital ; New Taipei City ; Taiwan ; Republic of China
  5. Department of Surgery ; Faculty of Medicine ; School of Medicine ; National Yang-Ming University ; Taipei ; Taiwan ; Republic of China
  6. Department of Exercise and Health Promotion ; College of Education ; Chinese Culture University (CCU) ; Taipei ; Taiwan ; Republic of China
  7. Department of Neurosurgery ; Lo-Hsu Foundation ; Lotung Poh-Ai Hospital ; Luodong ; Yilan ; Taiwan ; Republic of China
  8. Department of Information and Communication Engineering ; Chaoyang University of Technology ; Taichung ; 413 ; Taiwan ; Republic of China
  
• 关键词：Audio watermarking ; Optimization ; based ; Discrete wavelet transform (DWT)
• 刊名：The Journal of VLSI Signal Processing
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：80
• 期：2
• 页码：197-208
• 全文大小：1,067 KB
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  27. http://www.opticom.de/technology/technology.html: PEAQ information from OPTICOM.
  
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering
  Circuits and Systems
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Computer Systems Organization and Communication Networks
  Signal,Image and Speech Processing
  Mathematics of Computing
  
• 出版者：Springer New York
• ISSN：1939-8115

文摘

This work proposes a new blind digital audio watermarking system by using optimization-based modification on low-frequency amplitude of discrete wavelet transform (DWT). To modify the low-frequency amplitude under the best signal-to-noise ratio (SNR), the proposed embedding system minimizes the difference between the original and the embedded coefficients. Accordingly, an optimization-based embedding formula connecting the SNR and the embedding system is derived. The formula is then applied to embed the synchronization codes and the watermarks. Based on this formula, the number of DWT coefficients for embedding a binary bit can be increased to enhance the robustness without decreasing the audio quality. Consequently, the embedded audio has good quality and good robustness under high capacity. In addition, the system can extract the hidden data without the knowledge of original audio signal. Finally, the performance of the proposed watermarking method is tested. Experimental results indicate that the performance of proposed system is better than other DWT amplitude modification method.