Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

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• 作者：Chunlei Li ; Aihua Zhang ; Zhoufeng Liu ; Liang Liao…
• 关键词：Semi ; fragile ; Self ; recoverable ; Tamper detection ; Group quantization ; Double authentication ring
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：74
• 期：23
• 页码：10581-10604
• 全文大小：3,496 KB
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• 作者单位：Chunlei Li (1)
  Aihua Zhang (1)
  Zhoufeng Liu (1)
  Liang Liao (1)
  Di Huang (2)
  
  1. School of Electronic and Information Engineering, Zhongyuan University of Technology, ZhengZhou, 450007, China
  2. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, 10091, China
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

Semi-fragile self-recoverable watermarking algorithms are important to meet various requirements such as security, robustness, localization, and image recovery. However, current approaches are not adequate for this importance. Thus, we propose a novel semi-fragile and self-recoverable watermarking algorithm based on a group quantization and double authentication method. In the proposed algorithm, a target image is first split into 16 ×16 image blocks. For each image block, a five-bit authentication watermark is generated from the first-order statistical moment of the block and then is embedded into the mid-frequency band of another image block by a novel group-based wavelet quantization method. With the generated watermarks, image security is enhanced by randomly permuting coefficients among a group and image robustness is improved by embedding the watermark in the largest coefficient inside a sub-group by significant difference parity quantization. The proposed double authentication ring structure effectively improves the image localization accuracy. Recovered image is a better approximate to the original image. Experimental comparisons of ours with other algorithms shows the effectiveness of the proposed self-recoverable and semi-fragile watermarking algorithm.