KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Camera Source Identification of Digital Images Based on Sample Selection

  • Wang, Zhihui (DUT-RU International School of Information & Software Engineering, Dalian University of Technology. Economy and Technology Development Area) ;
  • Wang, Hong (DUT-RU International School of Information & Software Engineering, Dalian University of Technology. Economy and Technology Development Area) ;
  • Li, Haojie (DUT-RU International School of Information & Software Engineering, Dalian University of Technology. Economy and Technology Development Area)
  • Received : 2017.07.18
  • Accepted : 2018.03.22
  • Published : 2018.07.31
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Abstract

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

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References

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