A novel reversible data hiding using border point and localization

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• 作者：Zhibin Pan ; Sen Hu ; Xiaoxiao Ma ; Lingfei Wang
• 关键词：Data hiding ; Histogram shifting ; Peak point ; Border point ; Localization
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：75
• 期：2
• 页码：1285-1299
• 全文大小：947 KB
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• 作者单位：Zhibin Pan (1) (2)
  Sen Hu (1)
  Xiaoxiao Ma (1)
  Lingfei Wang (1)
  
  1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China
  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093, People’s Republic of 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

In this paper, we propose a novel data hiding method based on histogram framework which is essentially different from the conventional histogram-based data hiding methods. The conventional methods always use the peak point to embed the secret data and before the embedding all pixels between peak point and zero point must be shifted to zero point to provide an extra space for embedding. The distortion is mainly caused by this shifting operation. We propose using the border point of the histogram instead of peak point to embed the secret data so that the shifting can be completely avoided. Because there are no pixels between border point and extremum point (i.e. 0 or 255), there is no shifting before embedding. Then, to increase the embedding capacity, more border points are needed for embedding. Therefore, the localization is exploited to divide the cover image into non-overlapping blocks to generate more border points. Compared with other histogram-based data hiding methods, our proposed method provides higher image quality because the shifting is avoided, and the embedding capacity is also high due to the localization. Experimental results show that the PSNR of our proposed method is at least 5–10 dB higher than the related histogram-based data hiding methods under the same embedding capacity. Keywords Data hiding Histogram shifting Peak point Border point Localization