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Recaptured Image Forensics Based on Quality Aware and Histogram Feature

  • Pengpeng Yang
  • Ruihan Li
  • Rongrong Ni
  • Yao Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10431)

Abstract

The recaptured images forensics has drawn much attention in forensics community. The technology can provide some evidences for copyright protection and protect the face spoofing system to a certain degree. In this paper, we propose an algorithm to detect the images recaptured from LCD screen. On the one hand, the quality of the recaptured images would be affect in general. The generalized Gaussian distribution (GGD) and zero mode asymmetric generalized Gaussian distribution (AGGD) effectively capture the behavior of the coefficients of natural and distorted versions of them. So the parameters of GGD with zero mean and zero mode AGGD are estimated as the quality aware feature. On the other hand, the correlation of DCT coefficients between two adjacent positions would be changed. The histogram feature of difference matrix of DCT coefficients is used to measure it. The experimental results show that the proposed method obtains a outstanding detection accuracy.

Keywords

Recaptured image forensics Quality aware features DCT coefficient 

Notes

Acknowledgments

This work was supported in part by National NSF of China (61672090, 61332012), the National key research and development program of China (2016YFB0800404), Fundamental Research Funds for the Central Universities (2015JBZ002).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Pengpeng Yang
    • 1
  • Ruihan Li
    • 1
  • Rongrong Ni
    • 1
  • Yao Zhao
    • 1
  1. 1.Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information ScienceBeijing Jiaotong UniversityBeijingChina

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