Non-intrusive Forensic Detection Method Using DSWT with Reduced Feature Set for Copy-Move Image Tampering

@article{Thirunavukkarasu2018NonintrusiveFD,
  title={Non-intrusive Forensic Detection Method Using DSWT with Reduced Feature Set for Copy-Move Image Tampering},
  author={V. Thirunavukkarasu and J. Satheesh Kumar and Gyoo Soo Chae and J. Kishorkumar},
  journal={Wireless Personal Communications},
  year={2018},
  volume={98},
  pages={3039-3057}
}
The key intention of non-intrusive image forensic detection is to resolve whether an image is original or tampered. In contrast to intrusive methods, there is no supporting pattern that has been embedded into an image to ensure image authenticity. The only accessible cue is the original characteristics of an image. Various non-intrusive techniques have been proposed to ensure image authenticity but no adequate solution exists so far. This article introduced a robust technique by means of… CONTINUE READING

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Key Quantitative Results

  • Overall tamper detection accuracy is greater than 97% and false positive rate close to zero, which indicates that proposed technique will discover tampered region more precisely compared with existing methods.

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