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A Statistical Approach for Ownership Identification of Digital Images

  • Ching-Sheng Hsu
  • Shu-Fen Tu
  • Young-Chang Hou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

In this paper, we propose an ownership identification scheme for digital images with binary and gray-level ownership statements. The proposed method uses the theories and properties of sampling distribution of means to satisfy the requirements of robustness and security. Essentially, our method will not really insert the ownership statement into the host image. Instead, the ownership share will be generated by the sampling method as a key to reveal the ownership statement. Besides, our method allows ownership statements to be of any size and avoids the hidden ownership statement to be destroyed by the latter ones. When the rightful ownership of the image needs to be identified, our method can reveal the ownership statement without resorting to the original image. Finally, several common attacks to the image will be held to verify the robustness and the security is also analyzed.

Keywords

Watermark Scheme Secret Image Ownership Statement Host Image Digital Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ching-Sheng Hsu
    • 1
  • Shu-Fen Tu
    • 2
  • Young-Chang Hou
    • 3
  1. 1.Department of Information ManagementMing Chuan UniversityTaoyuan CountyTaiwan, R.O.C.
  2. 2.Department of Information ManagementChinese Culture UniversityTaipei CityTaiwan, R.O.C.
  3. 3.Department of Information ManagementTamkang UniversityTaipei CountyR.O.C., Taiwan

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